What you will be doing:

We are looking for a dynamic and experienced Engineering Manager to join our innovative Tech Team. You will collaborate across functions, engaging in both the design and implementation of high-performance systems crucial for detecting financial risks. 

As an Engineering Manager, you will: 

• Take ownership for your team, being responsible for current team members growth and development, plus hiring and onboarding new team members 
• Foster a positive and thriving work environment that promotes innovation.
• Mentor and coach your team, maintaining a learning mindset and openness to new ideas and technologies.
• Set the direction for your team and take accountability for tech decisions. 
• Work alongside with your product counterpart, being accountable for delivery against the roadmap.
• Collaborate, both within your team and across the tribe to ensure your team’s implementation meets industry standards.
• Report to the Director of Engineering, and will work with the other Engineering Managers in the tribe.  Working as a group, you will own cross-team initiatives and improvements.

Our Tech Stack:

• Our technology stack is designed to run on public cloud architectures, notably AWS and GCP
• Development is organised around Kotlin and Python for our backend languages and TypeScript/ES6+React for our frontend stack
• We make substantial use of relational database technologies, notably Postgres, Yugabyte
• We also use an event-sourced model powered by Kafka for our communication bus and gRPC for our intra-service communication protocol
• We use modern observability solutions from Grafana Cloud and deploy our code using ArgoCD

We have a strong emphasis on engineering excellence and strive to ship the best possible code and the best possible solutions to our customers

About you

As an Engineering Manager, you will have:

• Proven experience in managing and growing high-performing engineering teams.
• Strong knowledge of engineering best practices, including architecture and testing.
• Past or current experience in a JVM-based language or Python.
• Experience with data-intensive applications and relational databases (e.g., Postgres, MySQL, SQL Server, Oracle).
• Expertise in designing and building microservices.
• Excellent communication and writing skills, including the ability to write clear technical documentation.
• Experience collaborating with product and commercial teams.

Nice to haves:

• Experience with AWS and Docker/Kubernetes.
• Background in startup or scale-up environments

If you are passionate about leading teams, driving technical excellence, and working in a collaborative environment, we would love to hear from you! Join us in creating scalable and efficient systems that make a difference in financial risk detection.

Benefits:

• Equity as we want you to have a part of what we are building 
• Unlimited Time Off Policy- A work-life balance and focus on our well-being are critical to keeping us performing at our best 
• We embrace a hybrid approach that requires employees to be in the office for two days a week. We strongly believe that this approach fosters collaboration and enables the building of meaningful relationships
• You will also get a new starter budget to kit out your home office 
• Opportunity to work on innovative projects with smart-minded people keen to share their knowledge and continuously improve 
• Annual learning budget (prorated based on start date) to drive your performance and career development 

Data at GoCardless 

You’ll sit in our Data & Business Systems group and will work with technical and non-technical people across the whole company. You’ll collaborate closely with our team of talented Analysts, Data Scientists, ML/AI Engineers and System Admins, designing and delivering first-class analytics to the business.

We’re a large team with an extensive remit and expect every member to work with initiative and be driven, holding each other accountable and to a high standard. Joining our team, you’ll work in a team that strives to be the best they can be. You’ll work on complex projects across GC’s data & business systems stack. 

You will enjoy being an analyst at GoCardless if:

• You’re looking to champion a great data culture within GC and in the wider data community. 
• You enjoy collaborating and learning from people from various backgrounds and experiences. 
• You want to feel proud of the work you’re doing and its impact on real customers.

Our technologies: We endeavour to build simple, reliable systems and we believe in using the best technologies for each task. Technologies we use across GoCardless include: Looker, Python, Looker, Google Cloud Platform, dbt, Airflow, Vertrex and Jupyter amongst others.

You’re not expected to have expertise in all these technologies. Members of our team have picked up the tools once they’ve started working with the team. 

The Role

At GoCardless we use marketing throughout the customer lifecycle to acquire new customers and drive revenue growth through our existing merchant base. As part of this role, you will be working closely across all marketing teams - paid, organic, lifecycle - to understand how their marketing efforts are helping to grow our merchant base and accelerate revenue. Your insights will be turned into actions as your expertise helps drive the future of GoCardless.

What excites you 

• Collaborate with Growth Marketing measuring how our Paid and Organic marketing strategies drive acquisition, engagement and revenue growth
• Partner with marketing stakeholders to define and monitor marketing KPIs and identify trends, risks and opportunities in customer and campaign data to inform strategy aligned with business objectives
• Assist marketing teams in A/B test design and execution and analysing results using statistical methods
• Ensure data quality, accuracy and consistency across all marketing sources
• Build data products that help to monitor the health of campaigns, continuously innovating on the practices and the tools we rely on to deliver the right insights at the right decision points (A/B Testing, Analysis (SQL), Visualisation (Looker, Domo), Tracking (Google Analytics), Automation (Python), AI (Gemini)).

What excites us  

Essentials:

• You have a background working in (performance) marketing analytics or a marketer looking for a more data focused role. 
• You have knowledge of common marketing measurement metrics, tools & methodology.
• You are a self-starter, focused on results, with a demonstrated background in using analytics to drive the understanding, growth, and success of marketing campaigns
• You have experience with data visualisation tools and communicating findings from complex data sets in an accessible way
• You are proficient in basic SQL

Nice to have:

• A basic knowledge of Python/R is advantageous but not essential
• You have experience leveraging AI capabilities to enhance data analysis, automate tasks, and improve decision-making processes

We don’t expect you to meet every requirement. If you’re excited by this role, we encourage you to apply.

Salary range: the expected base salary range for this position is between €45,600 - €68,400.

Base salary ranges are based on role, job level, location, and market data. Please note that whilst we strive to offer competitive compensation, our approach is to pay between the minimum and the mid-point of the pay range until performance can be assessed in role. Offers will take into account level of experience, interview assessment, budgets and parity between you and fellow employees at GoCardless doing similar work.

About the Role

iCapital is looking for a Assistant Vice President Information Security Engineer to join the Information Security team. This role will establish and manage cloud security programs, build new security architecture, automation, enforce application security processes and continuously find security gaps across iCapital technology. The ideal candidate is an experienced individual contributor and leader who can do research, design and implement security technologies, manage small teams of engineers, and is able to empathize and connect teams cross-functionally.

Responsibilities

• Build and manage Cloud Security Programs for AWS, Azure, and GCP infrastructure, providing continuous monitoring and resolution of all the vulnerabilities in our cloud environment.
• Implement resolutions of security misconfigurations.
• Collaborate with the DevOps team to rethink routine, embrace new best practices, and drive the adoption of technology standards.
• Build automation capabilities to monitor and alert infrastructure for AWS maintenance.
• Evolve, build and continuously test new cloud infrastructure capabilities for secure designs and functions.
• Build processes and automation capabilities for application code security reviews, workflows, and testing in collaboration with developers.
• Assist the SOC in building detection and alert capabilities.
• Develop workflows for SaaS security programs.
• Assist the Risk and Governance teams with policies, procedures, and standards.
• Collaborate with cross-functional teams, including DevOps and Security Engineering, to deliver security projects.

Qualifications

• Experience in Cloud Environment, AWS preferred, for 5-10 years to establish security cloud infrastructure
• AWS Certified Solutions Architect or similar certifications are preferred
• Commitment to staying at the forefront of cloud security trends, emerging threats, and evolving technologies
• Experience with Infrastructure as Code or systems engineering and scripting
• Strong verbal and written communication skills
• Fluent in Portuguese and English
• Able to influence stakeholders
• Able to drive tasks to completion

Employees in this role will work fully remote. Every department has different needs, and some positions will be designated in-office jobs, based on their function.

Benefits

iCapital offers a comprehensive benefits package that includes a total compensation program consisting of competitive salary, annual performance bonus, and equity for all full-time employees; healthcare with 100% employer-paid health and dental insurance; and generous paid time off (PTO).

For additional information on iCapital Network, please visit https://www.icapitalnetwork.com/about-us  Twitter: @icapitalnetwork | LinkedIn: https://www.linkedin.com/company/icapital-network-inc

About the Role

As a Software Developer in Test, you will join one of several high-impact teams of QA professionals. You will work on a variety of Veeam products and features, helping us shape the quality of solutions used by companies around the world. During the hiring process, we’ll match your interests and experience with the team and project where you can make the greatest impact.

What You'll Do

• Develop and maintain automated tests for Veeam products
• Collaborate across the software development team
• Enhance frameworks and modules for automated testing
• Contribute to test design and implementation
• Analyze product source code
• Support internal automated testing systems
• Build and manage testing infrastructure
• Analyze test results, and maintain defects database

Technologies You'll Work With

• Python, PowerShell, C# (.Net 6, .Net 8)
• GitLab, Azure Devops, TeamCity
• TestRail

What You'll Bring

• From at least 1 year of experience (junior level) up to 3+ years (middle/senior level) in commercial product testing, test automation, or software development; OR practical hands-on coding experience, without a need for testing expertise but with a strong interest in the testing domain (for junior candidates)
• Programming experience in Python
• Experience with Windows and/or Linux environments
• A strong desire to write high-quality code and develop your skills in programming
• An open mind, common sense, clear logical thinking, and a lively, analytical mindset - you enjoy analyzing and understanding how things work
• English proficiency for daily communication within international teams

Bonus Skills

• C#/.NET Framework and Test Automation: LINQ, NUnit, Selenium WebDriver, testing RESTful APIs using HttpClient
• Experience with PowerShell 
• Experience with Git
• Experience with Jenkins, TeamCity or Azure DevOps
• Cloud platforms experience (AWS, Azure, GCP)

What You’ll Get

• 24 annual vacation days, plus 4 extra global VeeaMe Days for self-care and 24 paid volunteer hours annually through Veeam Cares
• Private medical, dental, and optical insurance for employees and dependents
• Life and disability insurance worth 2x gross annual salary
• Monthly meal card with €10.46 per working day
• Opportunities to learn and grow through on-demand libraries (LinkedIn Learning, O’Reilly), mentoring, workshops and learning events like our annual Global Day of Learning

Please note: If the applicant is permanently present outside of Portugal, Veeam reserves the right to refuse to consider the application for a job. Remote job is only possible in case the employee is located in Portugal. 

#LI-AR1
#Hybrid

Location: UK, Portugal, Remote

Department: Engineering

Employment Type: Permanent

About YLD:

Our goal is to help our clients keep moving forward. We work with them to build the skills and capabilities they need to stay ahead of the competition, and we know our success only happens when they succeed. We’re a team of curious, talented people, and we’re committed to making YLD a place where great people want to work, grow, and stay.

We’re a remote-first consultancy specialising in software engineering, product design, and data. Our teams are based across London, Lisbon, and Porto, and we create digital solutions that continue to deliver value long after our work is done.

About the role:

As a Senior Software Engineer at YLD, you’ll be part of a client team building innovative products. We’re looking for someone curious, passionate, driven, and enthusiastic. You should be skilled in problem-solving and experienced in designing scalable, resilient, and fault-tolerant architectures. You’re also an effective communicator and a strong team player. Together with your team, you’ll thrive in a fast-paced engineering environment, delivering outstanding results and exciting projects.

Preferred Skills:

• Strong backend engineering experience, with Go as a primary or preferred language;
• Comfortable working in cloud environments such as AWS, Azure, or Google Cloud;
• Experience building and maintaining APIs and backend services, including SaaS platforms;
• Familiarity with modern infrastructure and distributed systems;
• Solid understanding of modern deployment practices, including Docker, containers, and Kubernetes;
• Strong background in testing strategies, including TDD, across the full system lifecycle, with a focus on performance optimization;
• Use AI tools to augment your work, applying sound judgement to adopt emerging technologies where they genuinely add value and increase your impact as an engineer.

You should apply if you are:

• Self-motivated, proactive and always looking for ways to improve and develop yourself;
• A good communicator, both in writing and verbally. You’ll be able to explain technical ideas and concepts in business-friendly language;
• Detail-oriented;
• Possess strong problem-solving skills that balance innovation with pragmatic technology choices to solve business needs;
• Used to working in a team-oriented, collaborative environment;
• Analytical and problem-solving-oriented;
• A genuine believer in diversity and fairness.

Benefits you’ll receive:

• Company Private Health care
• Enhanced fully paid maternity and paternity leave for up to 6 months
• Enhanced pension scheme (only for UK)
• 25 days annual holiday (excluding Public Holidays)
• £/€2000 annual learning and development budget for training courses and conferences
• £/€300 annual allowance for additional hardware
• Wellbeing & Performance Support via Oli including Therapy and Coaching
• Discretionary Bonus (depending on Company performance and results)
• Generous referral schemes

Our typical recruitment process:

• 1st Interview with a Talent Partner (30/45 mins)
• Technical Interview with our Senior Developers (1h30)

Get a glimpse of what it's like working at YLD! 🤳

Check out our LinkedIn page

We live and breathe our values, and know you will too:

• Growing every day
• Including everyone
• Relationships built on honesty and ethics
• Inspiring solutions
• Winning together

We’re an equal-opportunity employer and value diversity in all its forms. We do not discriminate based on race, religion, colour, national origin, gender, sexual orientation, pregnancy or maternity, age, marital status, or disability. We also offer a remote-first working environment, with flexible working and work–life balance as standard for all employees.

About the role and team

A DevOps engineer? A SRE? What’s next? The industry is going through a rise of a new discipline and its adoption, so does Catawiki. Join our Platform Horizontal as a Platform Engineer!

Recently, our Platform Horizontal underwent a major transformation from solely "managing the cloud" to becoming the largest horizontal function within the company. Today we are proudly supporting various business objectives, including Reliability, Developer Experience, Security, and Quality. The team takes a holistic approach, creating systems and tools that developers can use to deliver applications seamlessly and reliably without getting bogged down in infrastructure complexity.

Joining Catawiki as a Platform Engineer means working at the intersection of development, infrastructure, and operations. Challenges are guaranteed! So, would you be interested in this opportunity to help us set and execute this long term vision?

What You’ll Do 

Your work as a Senior Platform Engineer will shape how Catawiki teams deliver value to customers, fostering speed, reliability, and security in everything they build.

Build a Self-Service Developer Platform: Design and maintain self-service platforms that abstract complexity, empowering teams with the tools they need to seamlessly deploy, monitor, and optimize their applications.

Orchestrate Cloud-Native Infrastructure: Manage our Kubernetes clusters and other cloud resources, ensuring performance, scalability, and cost efficiency with FinOps.

​​Boost Developer Productivity: Build and enhance CI/CD pipelines, GitOps workflows, and reusable templates to accelerate development and deployment cycles.

Drive Reliability and Scalability: Implement best practices for fault tolerance, disaster recovery, and scaling, ensuring that applications run smoothly and efficiently under all conditions.

Monitor and Improve Platform Operations: Use and enhance observability stack to ensure platform health and resolve incidents proactively.

Collaborate and Innovate: Collaborate with product teams to understand their needs and build solutions that empower them, while evangelising cloud-native best practices within Catawiki.

Who You Are 

You measure everything, implement gradual changes, and accept failure as normal. Being allergic to toil, you leverage tooling and automation. You enjoy sharing knowledge and helping others. Next to this you are:|

Cloud-Native Adept: Proficient in Kubernetes, cloud platforms (e.g. GCP, AWS, Azure), and container orchestration with a minimum of 2 years of production experience.

Automation Advocate: Skilled in automating workflows, CI/CD pipelines, and infrastructure as code (e.g., Terraform, Ansible).

Observability Believer: You are experienced in using and maintaining observability stacks (e.g. Prometheus, Grafana, ELK, OpenTelemetry) to ensure platform reliability, performance, as well as insight-driven improvements.

Ownership is your middle name: You have a strong sense of ownership for platform performance, proactively addressing issues and striving for long-term scalability and resilience.

Collaborative Thinker: A team player who works effectively with developers and cross-functional teams to align goals and deliver impactful yet simple solutions.

Adaptable Learner: While it’s practically impossible to keep up with all developments in the cloud-native ecosystem, you strive to continuously evolve with new tools, technologies, and best practices.

About Us

Riskified empowers businesses to unleash ecommerce growth by taking risk off the table. Many of the world’s biggest brands and publicly traded companies selling online rely on Riskified for guaranteed protection against chargebacks, to fight fraud and policy abuse at scale, and to improve customer retention. Developed and managed by the largest team of ecommerce risk analysts, data scientists and researchers, Riskified’s AI-powered fraud and risk intelligence platform analyzes the individual behind each interaction to provide real-time decisions and robust identity-based insights. Riskified is proud to work with incredible companies in virtually all industries including Acer, Gucci, Lorna Jane, GoPro, and many more.

We thrive in a collaborative work setting, alongside great people, to build and enhance products that matter. Abundant opportunities to create and contribute provide us with a sense of purpose that extends beyond ourselves, leaving a lasting impact. These sentiments capture why we choose Riskified every day. 

About the Role

As a Full-Stack Developer in Riskified’s Core Services Group, you’ll build and maintain applications end-to-end using various technologies. Working in a dynamic, agile environment with cutting-edge technologies, you’ll contribute to expanding Riskified’s ecosystem.

Our developers take full ownership, from feature planning with Product and Design to selecting technologies, designing architecture, coding, reviewing, deploying in a CI/CD environment, and monitoring post-deployment.

The team focuses on customer-facing applications, including a core web tool that allows merchants to review orders, perform actions, and gain insights through advanced analytics. Whether you’re crafting precise UI, developing robust backend logic, or optimizing infrastructure for scale, you’ll have the opportunity to engage end-to-end.

Our Stack: Scala, Spark, Node.js, Ruby, React, Postgres, Elastic, Redis, AWS, Kafka, Docker, Kubernetes, CircleCI and much more.

What You'll Be Doing

• Design and develop a highly reliable, available, and scalable architecture for our core services and web applications in a new promising product
• Deploy your code to production daily (we have advanced CI/CD pipelines)
• Be a strong owner of production systems, keeping them running smoothly
• Active part in planning the team roadmap and products
• Collaborating with design and product teams to define and implement new features

Qualifications

• B.Sc. in Computer Science or equivalent certifications
• 3+ years of proven experience in hands-on server-side coding
• Hands-on experience in React
• Hands-on experience in Node - advantage
• Proven experience in full-stack development, with proficiency in both frontend and backend technologies.
• Strong understanding of databases (SQL, NoSQL) and familiarity with cloud services (AWS, GCP).
• Great attitude - an independent self-learner and a strong team player

Life at Riskified

We are a fast-growing and dynamic tech company with 750+ team members globally. We value collaboration and innovative thinking.

We’re looking for bright, driven, and passionate people to grow with us.

Some of our Lisbon Benefits & Perks:

• Hybrid mode of work
• Flexible schedule
• Healthcare & dental benefits
• Fully-stocked kitchens
• Benefits package per month—per your choice, e.g., work-from-home equipment, gym membership, wellbeing activities, and more.
• Wellness program
• Celebrations and activities
• Team events
• Happy hours
• Awesome Riskified gifts and swags
• Volunteer programs
• Personal development
• Global onboarding
• Role-based technical skills training
• Full access to Udemy

In the News

C-Tech: We need to find the balance between leveraging innovative AI solutions and using them cautiously

Built In: How We Built This: A Riskified Technologist Unpacks The Company’s Beacon Technology

Globes: Riskified is among Israel’s fastest growing companies  

Yahoo: Riskified Earns "Top Rated" Award Across Four TrustRadius Solution Categories

Riskified is deeply committed to the principle of equal opportunity for all individuals. We do not discriminate based on race, color, religion, sex, sexual orientation, national origin, age, disability, veteran status, or any other status protected by law.

The Team:

We are Datadog's in-house product experts. The technical solutions team enables Datadog's worldwide growth by educating potential clients and ensuring that existing customers are happy and successful. We share our technical and product expertise with customers through demos, presentations, technical evaluations, and ongoing support. Technical solutions is a growing global team that collaborates constantly to share knowledge and continuously advance our technical skillset.

The Opportunity:

The Partner Solution Architect (PSA) is a Datadog expert who will work closely with Datadog’s Director, Adoption Services, and is aligned to our Channels & Alliances business segment. The PSA is responsible for supporting a variety of technical initiatives and activities for our partners (for example: cloud migration, application modernization, DevOps transformation). They are accountable for the outcome of these initiatives, and frequently collaborate with both Datadog and Partner resources to drive success. The PSA is a trusted technical advisor for our Partner channel.

You Will:

• Ensure the successful onboarding, training, enablement, and certification of partner technical resources;
• Participate in periodic joint business planning and review sessions to ensure direct alignment between Datadog and Partner technical teams;
• Collaborate internally to support Partner technical initiatives such as end-customer demonstrations and proofs of value; partner team enablement workshops; assessment, advice, and coaching on lead practices;
• Advocate on behalf of Partners’ technical concerns (use cases, feature requests, support issues, e.g.) with Datadog internal teams and personnel, helping to bring those concerns to resolution;

• Analyze and understand Partner service offerings on a regular basis and provide recommendations to enhance the value of those services through greater or improved adoption of Datadog features and capabilities;
• Collaborate with Datadog’s product management, engineering and technical services teams to help identify and prioritize new features and capabilities;
• Continuously help curate and evolve lead/best practices for Datadog platform adoption and success.

You Are:

• Possess a solid technical grounding with hands-on experience of IT Development and/or Operations;
• A demonstrable track-record and never-ending passion for learning;
• A self-starter, tech-savvy professional with solid business acumen; ability to articulate Datadog value from server room to boardroom;
• Confident presentation skills;
• Must be a current EU resident
• Desired hands-on experience in two or more of the following areas:
  • Observability: Datadog, Splunk, AppD, New Relic or Dynatrace
  • Public Cloud: AWS, Azure, GCP, or Alibaba
  • Containerization: Docker, Kubernetes, OpenShift, Cloud Foundry
  • Dev/Scripting: Python, Javascript, Ruby, Perl, PHP, Go
  • Config Mgmt: Terraform, Ansible, Puppet, Chef
  • CI / CD: Jenkins, Gitlab

Bonus Points:

• Previous experience working in a technical role for or supporting channel partners (Systems Integrators, Managed Services Providers, e.g.);
• Previous experience using Datadog and/or other cloud monitoring tools (APM, Infrastructure, Logs, Synthetics, NPM);
• Previous experience with root-cause-analysis, troubleshooting, debugging

Why You Should Apply: 

• Generous and competitive global and US benefits
• New hire stock equity (RSUs) and employee stock purchase plan
• Continuous career development and pathing opportunities 
• Product training to develop an in-depth understanding of our product and space
• Best in breed onboarding
• Internal mentor and buddy program cross-departmentally
• Friendly and inclusive workplace culture

About Datadog:

Datadog is the monitoring and security platform for cloud applications. Our SaaS product is used by organizations of all sizes across a wide range of industries to enable digital transformation, cloud migration, and infrastructure monitoring of our customers’ entire technology stack, allowing for seamless collaboration and problem-solving among Dev, Ops and Security teams globally. Given the resilience of cloud technologies and importance placed today in digital operations and agility, Datadog continues to innovate and is well positioned for the long term.

The Team:

We are Datadog's in-house product experts. The technical solutions team enables Datadog's worldwide growth by educating potential clients and ensuring that existing customers are happy and successful. We share our technical and product expertise with customers through demos, presentations, technical evaluations, and ongoing support. Technical solutions is a growing global team that collaborates constantly to share knowledge and continuously advance our technical skillset.

The Opportunity:

The Partner Solution Architect (PSA) is a Datadog expert who will work closely with Datadog’s Director, Adoption Services, and is aligned to our Channels & Alliances business segment. The PSA is responsible for supporting a variety of technical initiatives and activities for our partners (for example: cloud migration, application modernization, DevOps transformation). They are accountable for the outcome of these initiatives, and frequently collaborate with both Datadog and Partner resources to drive success. The PSA is a trusted technical advisor for our Partner channel.

You Will:

• Ensure the successful onboarding, training, enablement, and certification of partner technical resources;
• Participate in periodic joint business planning and review sessions to ensure direct alignment between Datadog and Partner technical teams;
• Collaborate internally to support Partner technical initiatives such as end-customer demonstrations and proofs of value; partner team enablement workshops; assessment, advice, and coaching on lead practices;
• Advocate on behalf of Partners’ technical concerns (use cases, feature requests, support issues, e.g.) with Datadog internal teams and personnel, helping to bring those concerns to resolution;

• Analyze and understand Partner service offerings on a regular basis and provide recommendations to enhance the value of those services through greater or improved adoption of Datadog features and capabilities;
• Collaborate with Datadog’s product management, engineering and technical services teams to help identify and prioritize new features and capabilities;
• Continuously help curate and evolve lead/best practices for Datadog platform adoption and success.

You Are:

• Possess a solid technical grounding with hands-on experience of IT Development and/or Operations;
• A demonstrable track-record and never-ending passion for learning;
• A self-starter, tech-savvy professional with solid business acumen; ability to articulate Datadog value from server room to boardroom;
• Confident presentation skills;
• Must be a current EU resident
• Desired hands-on experience in two or more of the following areas:
  • Observability: Datadog, Splunk, AppD, New Relic or Dynatrace
  • Public Cloud: AWS, Azure, GCP, or Alibaba
  • Containerization: Docker, Kubernetes, OpenShift, Cloud Foundry
  • Dev/Scripting: Python, Javascript, Ruby, Perl, PHP, Go
  • Config Mgmt: Terraform, Ansible, Puppet, Chef
  • CI / CD: Jenkins, Gitlab

Bonus Points:

• Previous experience working in a technical role for or supporting channel partners (Systems Integrators, Managed Services Providers, e.g.);
• Previous experience using Datadog and/or other cloud monitoring tools (APM, Infrastructure, Logs, Synthetics, NPM);
• Previous experience with root-cause-analysis, troubleshooting, debugging

Why You Should Apply: 

• Generous and competitive global and US benefits
• New hire stock equity (RSUs) and employee stock purchase plan
• Continuous career development and pathing opportunities 
• Product training to develop an in-depth understanding of our product and space
• Best in breed onboarding
• Internal mentor and buddy program cross-departmentally
• Friendly and inclusive workplace culture

About Datadog:

Datadog is the monitoring and security platform for cloud applications. Our SaaS product is used by organizations of all sizes across a wide range of industries to enable digital transformation, cloud migration, and infrastructure monitoring of our customers’ entire technology stack, allowing for seamless collaboration and problem-solving among Dev, Ops and Security teams globally. Given the resilience of cloud technologies and importance placed today in digital operations and agility, Datadog continues to innovate and is well positioned for the long term.

Your wellbeing, our mission. Join a company shaping a healthier world.

GET TO KNOW US

At Wellhub we're revolutionizing workplace wellness. Our platform connects employees worldwide to the best partners for fitness, mindfulness, therapy, nutrition, and sleep—all in one simple subscription. Headquartered in NYC with team members in 11 countries, we’re on a mission to make every company a wellness company.

We believe work should be fulfilling, inspiring, and balanced. Here, you’ll find a team that values wellbeing, collaboration, and different perspectives, where passion and creativity push boundaries to create real impact. Your contributions will help shape a healthier, more balanced world for you and millions of people globally. 

Join us in redefining the future of wellbeing!

THE OPPORTUNITY

We are hiring a Director of Security Engineering for our Information Security team in Portugal! This is a Remote – Portugal position, meaning you can work from anywhere within the country. Please note that this role is only open to candidates in Brazil. 

The Information Security team is responsible for protecting our subscription-based product serving millions of users. As a Director of Security Engineering, you will be the technical leader driving application security, DevSecOps practices, and security engineering across our 10 product verticals. This is a unique opportunity to build security capabilities in a high-growth environment. You will help construct the technical security strategy, architect security solutions, lead threat modeling, and establish secure development practices across all engineering teams. The role requires deep technical expertise in application security, cloud security, and modern DevSecOps practices.In this capacity, you will serve as the primary architect for our security engineering roadmap, ensuring that protection is integrated at every stage. You will oversee the deployment of automated security tooling, mentor senior engineers in advanced vulnerability research, and partner with product leaders to balance rapid feature delivery with robust risk mitigation. Your leadership will be pivotal in scaling our security posture to meet the demands of a global, multi-vertical ecosystem while fostering a culture of shared security responsibility.

YOUR IMPACT 

• Lead the technical security strategy for product and application security, defining architecture standards, security baselines, and secure coding guidelines aligned with OWASP ASVS, NIST SSDF, and BSIMM frameworks.
• Architect and implement a comprehensive DevSecOps pipeline, integrating SAST, DAST, SCA, and container scanning across all CI/CD pipelines serving 10 product verticals.
• Drive threat modeling practices across critical product flows, partnering with engineering leads to identify and mitigate security risks before they reach production.
• Design and implement a centralized security telemetry architecture, connecting application logs, WAF events, and fraud signals into a unified SIEM platform for real-time detection.
• Lead the technical evaluation, selection, and implementation of security tools (SAST/DAST, SIEM/SOAR, PAM, API Gateway security, container security scanners).
• Establish and mentor a team of 7-8 embedded DevSecOps engineers across product verticals, providing technical guidance and ensuring consistent security standards.
• Own the technical roadmap for reducing MTTD from >48h to <1h and fraud detection from D+1 to real-time through security engineering and automation.
• Live the mission: inspire and empower others by genuinely caring for your own wellbeing and your colleagues. Bring wellbeing to the forefront of work, and create a supportive environment where everyone feels comfortable taking care of themselves, taking time off, and finding work-life balance.

WHO YOU ARE 

• A seasoned security engineer with experience in application security, cloud security, or security engineering, with at least 4 years in a senior technical leadership role.
• Deep expertise in secure software development lifecycle (SSDLC), threat modeling (STRIDE, PASTA), and security architecture for distributed systems and microservices.
• Hands-on experience with security tooling: SAST (Checkmarx, Snyk, SonarQube), DAST (Burp Suite, OWASP ZAP), SCA, container scanning (Trivy, Prisma), and SIEM platforms (Elastic, Splunk, Sentinel).
• Extensive knowledge of cloud security (AWS and/or GCP), including IAM, VPC security, secrets management, and container orchestration security (Kubernetes/EKS).
• Experience building and scaling DevSecOps programs, integrating security into CI/CD pipelines, and mentoring engineering teams on secure coding practices.
• Proficiency in at least two programming languages (Python, Go, Java, or JavaScript) with the ability to review code, write security tooling, and automate security workflows.
• Familiarity with compliance frameworks (ISO 27001, PCI DSS, LGPD/GDPR) and how they translate into technical security controls.
• Effective communication skills (Portuguese and English) to translate complex technical security concepts into actionable guidance for engineering teams at all levels.
• We recognize that individuals approach job applications differently. We strongly encourage all aspiring applicants to go for it, even if they don't match the job description 100%.
• For this specific role, please note that prior experience in application security engineering and DevSecOps pipeline implementation is a mandatory requirement.

WHAT WE OFFER YOU

With thoughtful benefits, emotional wellbeing resources, and a culture that empowers you to take ownership of your role and your wellbeing, we create an environment where you can thrive in all dimensions of your life. Our benefits include:

WELLHUB:  Free Gold membership with access to onsite gyms and studios, digital fitness programs, and online wellness resources for meditation, nutrition, mental wellbeing support, and more! Add up to three family members to your plan, ensuring access to wellness for those who matter most to you. 

HEALTHCARE: Health insurance.

FLEXIBLE WORK: As a Flexible First company, we offer hybrid and remote options to give you the freedom to work in a way that suits you. The model for this specific role can be discussed with your recruiter and hiring manager. We offer all employees a one-time reimbursement to set up their home office equipment and a monthly work allowance to help cover the costs of working from home.

FLEXIBLE SCHEDULE:  Flexibility for us isn’t just about where we work—it also means being able to shape how and when we get things done. Together with their leaders, employees define schedules that align with their time zones, team needs, and personal routines.

PAID TIME OFF: We know how important it is to take time away from work to recharge. Employees receive a minimum of 25 days paid holiday per year with an additional day for each year of tenure (up to 5) in addition to annual holidays (including an extra holiday on your birthday!).

PARENTAL LEAVE: Welcoming a new child is one of the most special moments in your life. Take the time to be present and enjoy your growing family. We offer 100% paid parental leave to all new parents. Parents giving birth are eligible for an extended leave and a ramp-back period to return part-time while they get settled.  

CAREER GROWTH: Access world-class platforms, participate in interactive sessions,  build your personalized development roadmap, and explore internal opportunities. We focus on continuous learning and feedback to support your journey toward personal and professional success. 

CULTURE: You’ll join a team of passionate people who come together to break boundaries, support each other, and create a meaningful impact in workplace wellness. We win together, building trust through open communication and a culture where every perspective matters. Learn more about our shared culture and values here. 

And to get a glimpse of life at Wellhub… Follow us on Instagram @lifeatwellhub and LinkedIn!

Diversity, Equity, and Belonging at Wellhub

We aim to create a collaborative, supportive, and inclusive space where everyone knows they belong. At Wellhub, we welcome and celebrate your authentic self.

Wellhub is committed to creating a diverse work environment and is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, religion, color, sex, gender identity or expression, sexual orientation, age, non-disqualifying physical or mental disability, national origin, veteran status, or any other basis covered by appropriate law.

Our commitment to inclusion also extends to how we recognize and reward our people. We’re proud to be Syndio Fair Pay Certified, reflecting our ongoing dedication to equitable and fair pay practices across our global team. Read more about it here.

Questions on how we treat your personal data? See our Aviso de Privacidade para Candidatos. 

#LI-REMOTE

#LI-CM1

About the Role

The Veeam Quality Assurance team invites you to work on Veeam products with Veeam QA professionals in the Lisbon R&D office.

As a Performance QA Engineer, you will work on large‑scale, real‑world backup and data protection scenarios used by enterprises worldwide. Your work will directly influence the scalability, reliability, and performance of Veeam products running in some of the most demanding environments.

What You'll Do

• Design and execute performance, load, and scalability testing for major components of Veeam products (from requirement analysis and lab design to test execution and results analysis)
• Build and maintain realistic enterprise‑grade test environments, including large infrastructures and complex topologies
• Identify performance bottlenecks and system limits, and work closely with developers, functional QA, and product managers to resolve them
• Participate in root cause analysis of performance issues reported by Technical Support and customers
• Own and evolve performance test labs: environment creation, configuration, monitoring, and collaboration with IT teams

What You'll Bring

• Technical education or a strong, hands‑on passion for systems and performance
• 1–2 years of experience in performance and/or load testing (or a strong practical background in system performance)
• Ability to analyze test results and clearly identify bottlenecks, limits, and performance risks
• Solid knowledge of Windows and/or Linux at an advanced user or system administration level
• Good understanding of system internals: CPU, memory, storage, networking
• Strong analytical mindset, attention to detail, and structured thinking
• Motivation to grow as a performance and scalability engineer
• English proficiency for daily communication within international teams

Bonus Skills

• Experience with databases (Microsoft SQL Server, PostgreSQL), including profiling and performance analysis
• Scripting, test automation, or infrastructure deployment experience
• Understanding of virtualization platforms and large virtual environments
• Hands‑on experience with cloud platforms (Azure, AWS, Google Cloud)
• Experience with Python
• Familiarity with Ansible, Terraform, or similar infrastructure‑as‑code tools

What You'll Get

• 24 annual vacation days, plus 4 extra global VeeaMe Days for self-care and 24 paid volunteer hours annually through Veeam Cares
• Private medical, dental, and optical insurance for employees and dependents
• Life and disability insurance worth 2x gross annual salary
• Monthly meal allowance of €10.46 per working day
• Opportunities to learn and grow through on-demand libraries (LinkedIn Learning, O’Reilly), mentoring, workshops and learning events like our annual Global Day of Learning

#LI-YS1

#Hybrid

Mission

Speechify is the easiest way to listen to the world’s information. Articles on the web, documents in the cloud, books on your phone. We absorb it all and let you listen to it at your desk, on the go, at your own speed, and with tools that make learning easier, deeper, and faster.

What streaming services have done for audio entertainment, we’re doing for audio information. And whatever we’re doing seems to be working. We’re #1 in our category, and experiencing exponential growth.

Overview

We're looking for a Senior Software Engineer to join our Core Experiences Team. This team builds and maintains the foundational services and SDKs that power Speechify’s product experience across platforms. It's a critical role for someone who enjoys working at the intersection of product and infrastructure, thinks strategically, and is passionate about designing clear, reliable APIs and simple systems that directly enhance the user experience.

What You’ll Do

• Collaborate with Speechify’s Product Teams to scope projects, find ways to reduce scope to get faster feedback from customers, navigate the integration/UX tradeoffs relevant to different product teams, and deliver solutions via our cross-platform SDK
• Optimize existing functionality to ship things like faster loading and more intelligent parsing by designing more efficient abstractions and improving our algorithms
• Ship cloud functions, lightweight backend services, and jobs using Kotlin

An Ideal Candidate Should Have

• Systems thinking. You know that optimizing a system requires end-to-end design, and you believe simplicity is valuable.
• Speed. You work quickly to generate ideas and options and know how to decide which things can ship now and what things need time
• Focus. We’re a high-growth startup with a busy, remote team. You know how and when to engage or be heads down
• Collaboration. You know how to inspire, play, and negotiate with opinionated designers, marketers, and PMs
• Preferred Tech Stack:
  • Kotlin Multiplatform (Java experience is OK but role is Kotlin Multiplatform) 
  • Prior experience with GCP is a plus

What We Offer

• A fast-growing environment where you can help shape the company and product.
• An entrepreneurial-minded team that supports risk, intuition, and hustle.
• A hands-off management approach so you can focus and do your best work.
• An opportunity to make a big impact in a transformative industry.
• Competitive salaries, a friendly and laid-back atmosphere, and a commitment to building a great asynchronous culture.
• Opportunity to work on a life-changing product that millions of people use.
• Build products that directly impact and support people with learning differences like dyslexia, ADD, low vision, concussions, autism, and more.
• Work in one of the fastest growing sectors of tech, the intersection of artificial intelligence and audio.

Think you’re a good fit for this job? 

Tell us more about yourself and why you're interested in the role when you apply.
And don’t forget to include links to your portfolio and LinkedIn.

Not looking but know someone who would make a great fit? 

Refer them! 

Speechify is committed to a diverse and inclusive workplace. 

Speechify does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.

The mission of Speechify is to make sure that reading is never a barrier to learning.

Over 50 million people use Speechify’s text-to-speech products to turn whatever they’re reading – PDFs, books, Google Docs, news articles, websites – into audio, so they can read faster, read more, and remember more. Speechify’s text-to-speech reading products include its iOS app, Android App, Mac App, Chrome Extension, and Web App. Google recently named Speechify the Chrome Extension of the Year and Apple named Speechify its 2025 Design Award winner for Inclusivity.  

Today, nearly 200 people around the globe work on Speechify in a 100% distributed setting – Speechify has no office. These include frontend and backend engineers, AI research scientists, and others from Amazon, Microsoft, and Google, leading PhD programs like Stanford, high growth startups like Stripe, Vercel, Bolt, and many founders of their own companies.

Overview

The responsibilities of our Platform team include building and maintaining all backend services, including, but not limited to, payments, analytics, subscriptions, new products, text to speech, and external APIs.

This is a key role and ideal for someone who thinks strategically, enjoys fast-paced environments, is passionate about making product decisions, and has experience building great user experiences that delight users.

We are a flat organization that allows anyone to become a leader by showing excellent technical skills and delivering results consistently and fast. Work ethic, solid communication skills, and obsession with winning are paramount. 

Our interview process involves several technical interviews and we aim to complete them within 1 week. 

What You’ll Do

• Design, develop, and maintain robust APIs including public TTS API, internal APIs like Payment, Subscription, Auth and Consumption Tracking, ensuring they meet business and scalability requirements
• Oversee the full backend API landscape, enhancing and optimizing for performance and maintainability
• Collaborate on B2B solutions, focusing on customization and integration needs for enterprise clients
• Work closely with cross-functional teams to align backend architecture with overall product strategy and user experience

An Ideal Candidate Should Have

• Proven experience in backend development: TS/Node (required)
• Direct experience with GCP and knowledge of AWS, Azure, or other cloud providers
• Efficiency in ideation and implementation, prioritizing tasks based on urgency and impact
• Preferred: Experience with Docker and containerized deployments
• Preferred: Proficiency in deploying high availability applications on Kubernetes

What We Offer

• A dynamic environment where your contributions shape the company and its products
• A team that values innovation, intuition, and drive
• Autonomy, fostering focus and creativity
• The opportunity to have a significant impact in a revolutionary industry
• Competitive compensation, a welcoming atmosphere, and a commitment to an exceptional asynchronous work culture
• The privilege of working on a product that changes lives, particularly for those with learning differences like dyslexia, ADD, and more
• An active role at the intersection of artificial intelligence and audio – a rapidly evolving tech domain

Think you’re a good fit for this job? 

Tell us more about yourself and why you're interested in the role when you apply.
And don’t forget to include links to your portfolio and LinkedIn.

Not looking but know someone who would make a great fit? 

Refer them! 

Speechify is committed to a diverse and inclusive workplace. 

Speechify does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.

We are looking for a Distributed Systems Engineer with experience in building high-performing, scalable, enterprise-grade applications. You will be responsible for building API interfaces (for customers, UI team etc). You will be responsible for building a high performance queuing/storage engine. You will collaborate with UI, connectivity and DevOps teams to come up with elegant solutions to complex problems. You will work in a polyglot environment where you can learn new languages and technologies whilst working with an enthusiastic team.

Responsibilities

• Responsibilities include designing and developing high-volume, low-latency applications for mission-critical systems and delivering high-availability and performance

• Contribute in all phases of the development lifecycle

• Write well designed, testable, efficient code

• Evaluate and propose improvements to existing system

Requirements

• 5+ years of industry experience

• Experience building and shipping large-scale, reliable, highly distributed systems

• Systems-level programming experience, especially in C, Go, Rust

• Expertise in L2, L3, and/or L4 networking protocols

• Good understanding of Linux networking and security

• Experience building on top of Linux kernel networking primitives – netfilter, nftables, eBPF, tc, network namespaces, etc

• Experience with large-scale distributed data pipelines, from data structuring to efficient querying to data analysis

• Experience of working with public cloud infrastructure providers (AWS/Azure/Google Cloud)

• Understanding of Kubernetes concepts

• Excellent debugging and optimization skills

• Understanding at the protocol level, including the differences between what the specs say, and what actually happens on the Internet

• Contributions to open source projects is a plus

• Excited by the idea of optimizing complex solutions to general problems

• Attention to detail and ability to solve complex customer problems

• Own solutions end-to-end and driving the design, development, and deployment process

• Able to work across teams and level common, sustainable solutions

ComplyAdvantage Technology

At Comply, we are building cutting-edge solutions that help prevent money flowing to and from bad actors to create a safer world. Your work will allow our customers to find out who is associated with crimes, financial and political risks, what that association is, and when it occurred, and it will dynamically update their state as new information emerges across a huge range of sources.

What you will be doing

As a Machine Learning Engineer, you will: 

• Build/train and productionize machine learning models for your squad
• Build capabilities to monitor model performance and feature drift
• Where appropriate re-use public models and techniques such as prompt engineering and RAG to reduce time to value
• Collaborate with other software engineers in a cross functional team to design and implement intelligent services
• Design software with scale, transparency and ease of operation in mind, writing maintainable, performant and well-tested code in Python
• Integrate ML models into new and existing data pipelines to drive positive impacts for CA’s customers, including feature engineering as well as building APIs and consuming and producing event streams as inputs and outputs of models

Our Tech Stack:

• Our technology stack is designed to run on public cloud architectures, notably AWS and GCP
• We use Python and Kotlin in the backend and TypeScript, ES6 and React in the frontend
• We make substantial use of  modern database technologies (eg. Yugabyte) as well as Spark and cloud based object stores for big data processing
• We also use an event-sourced model powered by Kafka for our communication bus and gRPC for our intra-service communication protocol
• Our data and AI teams use a wide range of machine learning libraries, large scale hybrid columnar data stores such as Databricks, Spark for stream and big data processing in combination with Kafka, as well as some graph databases
• We use modern observability solutions (Grafana) and deploy our code using ArgoCD

We have a strong emphasis on engineering excellence and strive to ship the best possible code and the best possible solutions to our customers.

About you:

• Experience maintaining and scaling machine learning-powered applications in production environments.
• Experience building scalable backend applications (preferably with Python).
• A track record of working in multi-disciplinary teams alongside Data Scientists, ML Engineers, and Product Managers.
• Hands-on experience with cloud platforms (AWS, Azure, or GCP) or with containerized infrastructure (e.g., Kubernetes, Docker, ArgoCD, Argo Workflows).
• Strong communication skills and a collaborative mindset, with the ability to contribute to system design discussions and mentor more junior engineers.

Nice to have:

• Experience working with PySpark or other distributed data processing frameworks.
• Background in building data-intensive applications or distributed systems using map-reduce style architectures.
• Familiarity with event-driven or microservice architectures.

What’s in it for you? 

• Equity as we want you to have a part of what we are building 
• Private medical insurance designed to keep you ensuring peace of mind while you excel in your career
• Unlimited Time Off Policy- A work-life balance and focus on our well-being are critical to keeping us performing at our best 
• We embrace a hybrid approach that requires employees to be in the office for two days a week. We strongly believe that this approach fosters collaboration and enables the building of meaningful relationships
• You will also get a new starter budget to kit out your home office 
• Opportunity to work on innovative projects with smart-minded people keen to share their knowledge and continuously improve 
• Annual learning budget (prorated based on start date) to drive your performance and career development

Cloud Platform Engineer needed to design, build and maintain our cloud infrastructure and platform services on Google Cloud Platform, with a strong focus on event-driven architectures.

What you’ll get to do:

You will leverage Infrastructure as Code (IaC) with Terraform, design and manage our event-driven API gateway using Apigee X, and ensure robust observability with New Relic. This role involves enhancing platform reliability, scalability, and performance for critical, real-time event-driven systems.

What you should have:

• Proven experience as a Cloud Platform Engineer or DevOps Engineer.
• Extensive experience with Google Cloud Platform (GCP) services and architecture.
• Strong expertise in Infrastructure as Code (IaC) using Terraform.
• Hands-on experience designing, implementing, and managing event-driven architectures.
• Proficiency with Apigee X for API management, specifically in developing and securing event-driven API ecosystems.
• Expertise in setting up and managing monitoring, alerting, and observability tools, particularly New Relic, for complex distributed systems.
• Experience with CI/CD pipelines and automation best practices for cloud deployments.
• Familiarity with containerization technologies like Docker and Kubernetes in event-driven contexts.
• Ability to troubleshoot complex platform issues and optimize cloud resource utilization.

Bonus points if you have:

• GCP Professional Cloud Architect or DevOps Engineer certification.
• Experience with other cloud providers (e.g., AWS, Azure).
• Scripting skills in languages like Python or Go.
• Knowledge of serverless architectures (e.g., Cloud Functions, Cloud Run) for event processing.
• Experience with message brokers and streaming platforms (e.g., Google Cloud Pub/Sub, Kafka).
• Experience with advanced security practices in cloud environments.

What we can offer you:

Alongside the opportunity to work with some of the most exciting brands around the world, we’ll also prioritise your career development and help you grow your skills. We’ll empower you to make a difference, allow you to be yourself, and respect who you are.

Permanent only:
We offer a great benefits package including  training opportunities, medical insurance, Dental insurance, Meal cards, social events, family friendly policies, discounts with hundreds of retailers and much more.

Our culture thrives on our core values, designed for impact-driven individuals: Heart, Brains and Courage.

We lead with Heart, fostering empathy and trust where genuine connections and human-centric work flourish.
We empower your Brains for innovation, valuing relentless curiosity and collaborative intelligence to solve complex challenges.
And we champion Courage, inspiring you to speak up, embrace experimentation, and advocate for bold solutions that push our thinking to be better than yesterday.

AT VML Enterprise Solutions

Our Enterprise Solutions division houses strategic consultants, creative and technical architects and skilled developers and operators that together help some of the world’s leading organisations to deliver outstanding digital experiences across all major routes to market worldwide: marketplaces, online retailers, D2C, B2B and social platforms. With over 4,200 experts in 55 operational centres across 34 countries, our capabilities span the entire buying journey from customer acquisition, through engagement, to conversion and loyalty, driving multi-channel growth for world-leading brands.

We work with some of the most exciting brands such as The Coca-Cola Company, EY, Bosch, Unilever, Ford, DFS, Mercedes-Benz, Johnson & Johnson, Nestlé, Sainsbury’s, Selfridges, Shell and Tiffany & Co. We’ve built over 500 platforms for brands and retailers and generate in excess of $29bn annually for our clients and work with over 50 strategic partners including Adobe, SAP, Salesforce, HCL, Shopify, Sitecore, BigCommerce, commerce tools and Acquia. Our reputation is based on our people, and we believe we have some of the best in the business.

As our business grows internationally, we’re looking for new people to join us on our journey to inspire and take a key role in shaping some of the best commerce solutions, services, and websites in the world. Working as a team, no problem is insurmountable; we share in our client’s successes and believe that anyone can show creative bravery no matter what their role is in the team.

#LI-EMEA

Location: Portugal

Department: Engineering

Employment: Full time

About YLD:

Everything we do is to empower our clients to move forward. Our purpose is to help our clients develop the capabilities they need to outperform their competitors. Our success is a consequence of ensuring our clients are successful. Our company is built on extraordinary people; we aim to attract, inspire, develop and retain them. YLD is a software engineering and design consultancy; we create digital capabilities for our clients that last beyond our engagement. We have offices in London, Lisbon, Porto.

About the role:

As a Software Engineer, you’ll be part of a client team building innovative products. We expect you to be curious, passionate, driven, and enthusiastic. You’ll be proficient at problem-solving, and crafting scalable, resilient, and fault-tolerant architectures. You’ll be an effective communicator and a team player. You and your team will move in a fast-paced engineering environment, achieving outstanding results and delivering exciting projects.

About you:

A YLD Software Engineering Consultant is a highly skilled developer who exemplifies the highest standard in software engineering and enjoys sharing their knowledge and experience with others.

You’ll have the opportunity to build and deliver software within some interesting projects in terms of the product and methodology. We work in an Agile environment (Scrum) with a test-first mindset (actually, writing code without tests should be unthinkable). We are also big advocates of pair programming and nothing is released until we have a code review.

You have a real passion for problem-solving and are an active learner who gets excited by working collaboratively with those around you.

Your day-to-day responsibilities will look like this:

• Crafting excellent products! As an AI Engineer, you will be building new AI-powered features that meet the needs of our clients' customers, as well as improving their Digital Platform with intelligent capabilities;
• Continuously delivering changes to products including AI model integrations, prompt optimisations, and system improvements, as we push for a full CI/CD model;
• Working closely with your team, regularly collaborating on both traditional engineering and AI initiatives, to continually push yourselves to build better, smarter systems;
• Participating in regular show and tells to promote your work — from AI experiments to production deployments — to both your department and the wider company;
• Joining our clients’ internal events, including meeting external speakers, going to quiz nights, etc.

You’ll have the following skills and experience:

Core Programming & AI

• Proven strong experience with JavaScript, TypeScript, and Python
• Advanced GenAI/LLM expertise: RAG, embeddings, vector search, prompt engineering, evals, guardrails, caching, chaining, function calling, etc
• Fine-tuning expertise: LoRA/QLoRA, instruction tuning, RLHF, domain adaptation, and custom model training
• Agentic architecture design: multi-agent systems, tool orchestration, planning/reasoning frameworks, memory systems, and agent coordination patterns
• Eval systems: automated evals, human feedback loops, benchmarking, A/B testing, safety testing, hallucination detection, and performance metrics
• Experience with LLM frameworks (LangChain, LlamaIndex, LiteLLM, CrewAI, Mastra, etc) and API integrations (OpenAI, Anthropic, etc.)

Infrastructure & DevOps

• CI/CD pipelines and IaC tools (Terraform, CloudFormation, CDK)
• Cloud platforms (AWS, Azure, GCP) for GenAI workloads and API management
• Containerisation and orchestration (Docker, Kubernetes) for AI applications
• LLM hosting and inference optimisation (vLLM, TGI, local deployment)

Data & Databases

• Vector databases (Pinecone, Weaviate, Chroma, Qdrant) and traditional databases (PostgreSQL, Neo4j)
• Data pipeline design for RAG and knowledge ingestion
• Real-time data streaming and processing
• Document processing and embedding generation workflows

Frontend & APIs

• React or modern UI frameworks
• API design for LLM services and conversational interfaces
• Multiple protocols (HTTP, GraphQL, gRPC, WebSockets, MCP)
• Real-time chat and streaming response handling

Performance & Reliability

• Building high-performance, scalable AI applications
• LLM cost optimisation, token management, and caching strategies
• Performance monitoring, observability, and debugging production AI systems
• Comprehensive testing: unit, integration, AI behaviour, security, accessibility

You’ll be:

• Self-motivated, proactive and always looking for ways to improve and develop yourself;
• A good communicator, both in writing and verbally. You’ll be able to explain technical ideas and concepts in business-friendly language;
• Detail oriented;
• Used to working in a team-oriented, collaborative environment;
• Comfortable with experimentation, iteration, and managing uncertainty in AI systems;
• Analytical and problem-solving oriented;
• Ethical thinker who considers the broader implications of AI implementations;
• A genuine believer in diversity and fairness.

As well as the chance to work with a forward-thinking, ethical, and fun group of people, you’ll also get:

• Company Private Health care
• Enhanced fully paid maternity and paternity leave for up to 6 months
• 25 days annual holiday (excluding Public Holidays)
• €2000 annual allowance for Training/Conferences
• €300 annual allowance for additional hardware
• Wellbeing & Performance Support via Oli including Therapy and Coaching
• Discretionary Bonus (depending on Company performance and results)
• Company laptop
• Generous referral schemes

Our typical Recruitment Process looks like this:

• 1st Interview with someone from the Talent team (30/45 mins)
• Technical Interview with our Senior Developers (1h30)

We live and breathe our values, and know you will too:

• Growing every day
• Including everyone
• Relationships built on honesty and ethics
• Inspiring solutions
• Winning together

We’re an equal-opportunity employer and value diversity of all kinds. We don’t discriminate based on race, religion, colour, national origin, gender, sexual orientation, pregnancy or maternity, age, marital status, or disability status. We also offer a remote-first working environment, meaning that flexible working and work-life balance come as standard for all employees.

Position Overview

We are seeking a highly skilled DevOps/Cloud Platform Engineer to join our engineering organization and help drive the next generation of our infrastructure and CICD platform capabilities. In this role, you will be an integral part of our CICD release process, responsible for designing, operating, and optimizing CICD runners and environments, maintaining cloud infrastructure, and creating internal developer platforms that support fast, reliable, and secure software delivery. You will work closely with engineering, QA, data, and product teams to ensure our systems are scalable, resilient, and easy to use.

The ideal candidate brings a strong blend of CICD knowledge, cloud infrastructure expertise, DevOps mindset, and hands-on development skills. You will automate wherever possible, use Infrastructure as Code to maintain consistency, and leverage modern DevOps tooling, including AI-assisted automation to enhance operational efficiency and developer productivity.

This is an operations role for someone who thrives in solving complex technical problems, improving processes, and building platforms that accelerate engineering velocity.

What you'll do:

• Develop, enhance, and maintain CI/CD self-hosted infrastructure using modern DevOps tooling (GitHub Actions Runners stack, ArgoCD, FluxCD etc.).

• Automate infrastructure provisioning, configuration management, monitoring, and operational workflows using IaC and scripting languages.

• Own the deployment, maintenance, and lifecycle management of systems supporting engineering (Kubernetes clusters, container registries, artifact systems, and internal developer platforms) leveraging deep expertise in Kubernetes, container runtimes, and the broader cloud-native ecosystem (Helm, Kustomize, etc.).

• Troubleshoot complex infrastructure and application issues, driving root-cause analysis and developing long-term remediation solutions

• Design, build, and maintain cloud infrastructure across major cloud providers (AWS, GCP, Azure), and develop/support deployments of applications, services, and monitoring with a strong focus on scalability, reliability, and cost optimization.

• Develop internal tooling and automation using Terraform, Python, Go, or similar languages to streamline operational tasks and improve developer productivity.

• Implement and manage security best practices across cloud environments, including identity management, secrets handling, audit logging, and network controls.

• Leverage AI/ML tools to automate repetitive DevOps tasks, operational workflows.

Your Experience:

• 4-8+ years of experience in DevOps, Cloud Engineering, Systems Administration, or similar infrastructure-focused roles.

• Familiar with GIT and comfortable with at least one systems programming language (C/C++, golang) and one scripting language (python, bash).

• Proficiency with Infrastructure as Code (Terraform, Pulumi, or CloudFormation) and configuration management (Ansible, Chef, or SaltStack).

• Working knowledge of at least one of observability stacks (Prometheus, Grafana, ELK/OpenSearch, Datadog, etc.) and operational troubleshooting.

• Strong hands on experience with Kubernetes management in production environments

• Experience designing, developing, and/or troubleshooting distributed systems.

• Comfort with shells on *nix family systems.

• B.S. degree or equivalent experience in Engineering, Computer Science or a related field.

Preferred Qualifications:

• Hands-on experience building CI/CD pipelines from a user perspective (GitHub Workflows, GitLab pipelines, etc)

• Certifications from cloud service providers (AWS DevOps, GCP Devops Eng, etc)

• Natural curiosity or drive to learn about new or adjacent technologies.

• Experience applying AI/ML tools (GitHub Copilot, cloud AI services, LLM-based automations, anomaly detection tooling, etc.) to streamline DevOps and infrastructure workflows is a strong plus.

• Hands-on experience implementing AI-enhanced threat detection systems.

About us:

SingleStore delivers the cloud-native database with the speed and scale to power the world’s data-intensive applications. With a distributed SQL database that introduces simplicity to your data architecture by unifying transactions and analytics, SingleStore empowers digital leaders to deliver exceptional, real-time data experiences to their customers. SingleStore is venture-backed and headquartered in San Francisco with offices in Sunnyvale, Raleigh, Seattle, Boston, London, Lisbon, Bangalore, Dublin and Kyiv.

Consistent with our commitment to diversity & inclusion, we value individuals with the ability to work on diverse teams and with a diverse range of people.

To all recruitment agencies: SingleStore does not accept agency resumes. Please do not forward resumes to SingleStore employees. SingleStore is not responsible for any fees related to unsolicited resumes and will not pay fees to any third-party agency or company that does not have a signed agreement with the Company.

SingleStore values individuals for their unique skills and experiences, and we’re proud to offer roles in a variety of locations across the United States. Salary is based on permissible, non-discriminatory factors such as skills, experience, and geographic location, and is just one part of our total compensation and benefits package. 

For candidates residing in California, please see our California Recruitment Privacy Notice. For candidates residing in the EEA, UK, and Switzerland, please see our EEA, UK, and Swiss Recruitment Privacy Notice.

Cloud Platform Engineer with GCP experience needed to design, build and maintain our cloud infrastructure and platform services on Google Cloud Platform, with a strong focus on event-driven architectures. 

Please send over your CV in English

What you’ll get to do:

In our Lisbon or Porto office, you’ll join a team of other specialists who are always ready to help each other. The team is part of our VML Enterprise Solutions network and works in coordination with our Local and EMEA client leads.   

You will leverage Infrastructure as Code (IaC) with Terraform, design and manage our event-driven API gateway using Apigee X, and ensure robust observability with New Relic. This role involves enhancing platform reliability, scalability, and performance for critical, real-time event-driven systems. 

What you should have:

• Proven experience as a Cloud Platform Engineer or DevOps Engineer. 
• Extensive experience with Google Cloud Platform (GCP) services and architecture. 
•  Strong expertise in Infrastructure as Code (IaC) using Terraform. 
• Hands-on experience designing, implementing, and managing event-driven architectures. 
• Proficiency with Apigee X for API management, specifically in developing and securing event-driven API ecosystems. 
• Expertise in setting up and managing monitoring, alerting, and observability tools, particularly New Relic, for complex distributed systems. 
• Experience with CI/CD pipelines and automation best practices for cloud deployments. 
• Familiarity with containerization technologies like Docker and Kubernetes in event-driven contexts. 
• Ability to troubleshoot complex platform issues and optimize cloud resource utilization. 

Bonus points if you have:

• GCP Professional Cloud Architect or DevOps Engineer certification.
• Experience with other cloud providers (e.g., AWS, Azure).
• Scripting skills in languages like Python or Go.
• Knowledge of serverless architectures (e.g., Cloud Functions, Cloud Run) for event processing.
• Experience with message brokers and streaming platforms (e.g., Google Cloud Pub/Sub, Kafka).
• Experience with advanced security practices in cloud environments.  

What we can offer you:

Alongside the opportunity to work with some of the most exciting brands around the world, we’ll also prioritise your career development and help you grow your skills. We’ll empower you to make a difference, allow you to be yourself, and respect who you are.

We offer a great benefits package including hybrid working that works for everyone, social events, training opportunities, medical and dental insurance, life assurance, meal cards and much more. 

Our culture thrives on our core values, designed for impact-driven individuals: Heart, Brains and Courage.

We lead with Heart, fostering empathy and trust where genuine connections and human-centric work flourish.
We empower your Brains for innovation, valuing relentless curiosity and collaborative intelligence to solve complex challenges.
And we champion Courage, inspiring you to speak up, embrace experimentation, and advocate for bold solutions that push our thinking to be better than yesterday.

AT VML Enterprise Solutions

Our Enterprise Solutions division houses strategic consultants, creative and technical architects and skilled developers and operators that together help some of the world’s leading organisations to deliver outstanding digital experiences across all major routes to market worldwide: marketplaces, online retailers, D2C, B2B and social platforms. With over 4,200 experts in 55 operational centres across 34 countries, our capabilities span the entire buying journey from customer acquisition, through engagement, to conversion and loyalty, driving multi-channel growth for world-leading brands.

We work with some of the most exciting brands such as The Coca-Cola Company, EY, Bosch, Unilever, Ford, DFS, Mercedes-Benz, Johnson & Johnson, Nestlé, Sainsbury’s, Selfridges, Shell and Tiffany & Co. We’ve built over 500 platforms for brands and retailers and generate in excess of $29bn annually for our clients and work with over 50 strategic partners including Adobe, SAP, Salesforce, HCL, Shopify, Sitecore, BigCommerce, commerce tools and Acquia. Our reputation is based on our people, and we believe we have some of the best in the business.

As our business grows internationally, we’re looking for new people to join us on our journey to inspire and take a key role in shaping some of the best commerce solutions, services, and websites in the world. Working as a team, no problem is insurmountable; we share in our client’s successes and believe that anyone can show creative bravery no matter what their role is in the team.

#LI-EMEA #LI-HYBRID #LI-JS1

Position Overview

SingleStore is seeking a Site Reliability Engineer to help optimize and scale our managed service offering across all three major cloud providers. In this role, you will be at the intersection of leading technology trends – A highly performant distributed database, managed by Kubernetes, running in the cloud.  This is a great opportunity to push the boundaries with a cloud focused SRE role.  

This is a development role, requiring an engineering mindset to solve operational challenges.  You will be part of a globally distributed team of engineers, helping to drive SRE practices across the company.  Through infrastructure automation, you will help us grow our service across multiple cloud platforms.  This requires a relentless focus on eliminating manual processes.  You will also leverage our monitoring platform to improve the overall customer experience by systematically identifying and fixing any issues impacting our customers.  As an SRE, you will also help diagnose issues on the platform, leveraging a deep understanding of the SingleStore query engine along with the backend infrastructure.  

What you'll do:

• Develop automation platform to manage infrastructure rollouts across cloud providers
• Optimize telemetry platform to identify customer impacting events while providing relevant data to drive debugging
• Partner with engineering team to optimize performance of services for cloud architecture
• Debug Live Site events and conduct follow-up postmortem and RCA analysis
• Participate in an SLA-driven on-call rotation, which will include after-hours, weekend, and rotating holiday participation.

Your Experience:

• Infrastructure automation experience. Python and Golang a plus.  
• Knowledge of Kubernetes and the container ecosystem
• Strong cross group collaboration and communication skills
• Familiar with at least one of AWS, Azure, or Google Cloud
• Experience debugging, diagnosing and troubleshooting complex, production software
• B.S. Degree in Computer Science or related field

About us:

SingleStore delivers our cloud-native database with the speed and scale to power the world’s data-intensive applications. With a distributed SQL database that introduces simplicity to your data architecture by unifying transactions and analytics, SingleStore empowers digital leaders to deliver exceptional, real-time data experiences to their customers. SingleStore is venture-backed and headquartered in San Francisco with offices in Sunnyvale, Raleigh, Seattle, Boston, London, Lisbon, Bangalore, Dublin and Kyiv. 

Consistent with our commitment to diversity & inclusion, we value individuals with the ability to work on diverse teams and with a diverse range of people.

To all recruitment agencies: SingleStore does not accept agency resumes. Please do not forward resumes to SingleStore employees. SingleStore is not responsible for any fees related to unsolicited resumes and will not pay fees to any third-party agency or company that does not have a signed agreement with the Company.

SingleStore values individuals for their unique skills and experiences, and we’re proud to offer roles in a variety of locations across the United States. Salary is based on permissible, non-discriminatory factors such as skills, experience, and geographic location, and is just one part of our total compensation and benefits package. 

For candidates residing in California, please see our California Recruitment Privacy Notice. For candidates residing in the EEA, UK, and Switzerland, please see our EEA, UK, and Swiss Recruitment Privacy Notice.

What you will be doing:

We are building cutting edge solutions that help reveal the truth for a safer world and we are looking for Machine Learning Engineers to help us do this! You will engineer machine learning models, tooling and data pipelines for our linked data ecosystem and work on models to determine whether the people and companies our clients are screening and monitoring are linked to financial crime, and to improve recall while reducing noise in the results. 

As a Junior Machine Learning Engineer, you will:

• Build/train and productionize machine learning models for your squad
• Build capabilities to monitor model performance and feature drift
• Where appropriate re-use public models to reduce time to value
• Collaborate with other software engineers in a cross functional team to design and implement intelligent services
• Be mentored by senior engineers to design solutions with scale, transparency and ease of operation in mind, and to write maintainable, performant and well-tested code in Python
• Work with mid and senior engineers to integrate ML models into new and existing data pipelines to drive positive impact for CA’s customers, including feature engineering as well as building APIs and consuming and producing event streams as inputs and outputs of models

Our Tech Stack:

• Our technology stack is designed to run on public cloud architectures, notably AWS and GCP. 
• Development is organized around Kotlin and Python for our backend languages and TypeScript/ES6+React for our frontend stack. 
• We make substantial use of relational database technologies, notably Postgres, and also use of  a distributed SQL database as Yugabyte
• We also use an event-sourced model powered by Kafka for our communication bus and gRPC for our intra-service communication protocol. 
• For our data and AI teams, experience in machine learning development and very large-scale columnar data stores (e.g. Apache HBase, Databricks) is key, as well as experience with large-scale data streaming technologies such as Apache Spark, graph databases (e.g. Neo4j, AWS Neptune, TigerGraph)
• We use modern observability solutions built on Grafana Cloud, and deploy our code using ArgoCD

We have a strong emphasis on engineering excellence and strive to ship the best possible code and the best possible solutions to our customers.

About you:

As a Junior Machine Learning Engineer, you will have:

• Demonstrable python software development skills
• A degree with some mathematical content and formal machine learning education either subsequent to your degree (e.g. as a masters) or as a core part of your degree
• Demonstrable experience of building ML models using a range of machine learning algorithms and techniques either from previous jobs or personal and academic projects 

Education: 

• BSc/BA degree in computer science, engineering or related discipline OR relevant years of experience in required skills.

What’s in it for you? 

• Equity as we want you to have a part of what we are building 
• Private medical insurance designed to keep you ensuring peace of mind while you excel in your career
• Unlimited Time Off Policy - A work-life balance and focus on our well-being are critical to keeping us performing at our best 
• We embrace a hybrid approach that requires employees to be in the office for two days a week. We strongly believe that this approach fosters collaboration and enables the building of meaningful relationships
• You will also get a new starter budget to kit out your home office 
• Opportunity to work on innovative projects with smart-minded people keen to share their knowledge and continuously improve 
• Annual learning budget (prorated based on start date) to drive your performance and career development 

We are looking for driven, talented Junior Software Engineers to help us build our SaaS-based anti-money laundering solutions, which help organizations fight financial crime! We are building solutions that help reveal the truth for a safer world and stop money from ending up in the hands of criminals. 

As a Junior Software Engineer, you will:

• Be working alongside other software engineers within the Team.
• Write new features that enable our platform to analyse information about individuals, apply ML models to categorize their actions, and merge all this with existing data we hold. Your work will allow our customers to find out who has done something bad, what they did, and when.
• Help us deliver new features and maintain our platform as we apply new technologies and scale our systems.  
• Learn quickly and be able to adopt the technologies we use to develop code and deploy it to Kubernetes.  
• Contribute to sprint planning and be able to demo the features you’ve worked on to stakeholders.
• Be responsible for the quality of your code and will be expected to write tests and take ownership of systems that ensure the quality of our code.
• Adopt best practices (and be able to suggest improvements to them), to get code from initial requirements to deployed services in production.

Our Tech Stack:

• Our technology stack is designed to run on public cloud architectures, notably AWS and GCP. 
• Development is organized around Kotlin for our backend services. 
• We make substantial use of relational database technologies, notably Postgres, and also use of  a distributed SQL database as Yugabyte.
• We also use an event-sourced model powered by Kafka for our communication bus and gRPC for our intra-service communication protocol.
• We use modern observability solutions built on Grafana Cloud, and deploy our code using ArgoCD.

We have a strong emphasis on engineering excellence and strive to ship the best possible code and the best possible solutions to our customers.

About you:

As a Junior Software Engineer, you will have:

• Motivated in writing production-grade applications and in writing unit tests and understand the importance of testing
• Interested in working with large scalable systems 
• It would be nice if you had exposure working in a multi-disciplinary team (ML Engineers and Product)
• Fascinated by working in cloud (AWS/Azure/GCP) or containerized infrastructure (Kubernetes/Docker/Jenkins) would be great;
• Want to explore an agile environment and understand how valuable pair programming is to Engineering practices.

Education: 

• BSc/BA degree in computer science, engineering or related discipline OR relevant years of experience in required skills.

What’s in it for you? 

• Equity as we want you to have a part of what we are building 
• Private medical insurance designed to keep you ensuring peace of mind while you excel in your career
• Unlimited Time Off Policy - A work-life balance and focus on our well-being are critical to keeping us performing at our best 
• We embrace a hybrid approach that requires employees to be in the office for two days a week. We strongly believe that this approach fosters collaboration and enables the building of meaningful relationships
• You will also get a new starter budget to kit out your home office 
• Opportunity to work on innovative projects with smart-minded people keen to share their knowledge and continuously improve 
• Annual learning budget (prorated based on start date) to drive your performance and career development 

About Easyship:

Easyship is one of the world’s leading multi-carrier shipping software, built to make global eCommerce borderless. Since 2014, we’ve been on a mission to democratize logistics by removing the "black box" of international shipping costs and complexities. Trusted by over 100,000 brands, our platform provides a single "mission control" for global trade, offering access to 550+ courier services across 200+ destinations.

We are an award-winning, global team (Forbes 30 Under 30, TechInAsia’s Best Startup) with offices in London, New York, Hong Kong, and beyond. We’re growing fast, we value transparency, and we genuinely enjoy building the infrastructure that powers modern commerce. If you're ready to solve complex problems at scale, we’d love to have you join us.

Who We’re Looking For:

Easyship is a shipping technology platform that connects sellers and marketplaces to couriers. Beyond that, we also build and execute customized end-to-end shipping solutions for clients worldwide. These Logistics solutions can combine a number of partners and services, from global freight forwarding services to last-mile delivery.

At Easyship, we believe the next generation of engineering excellence is defined by the ability to blend deep tech stack expertise with AI-augmented workflows. We are looking for an experienced Senior Backend Engineer - Ruby who isn't just a coder, but an architect—someone who views AI (Copilot, Cursor, LLMs) as a force multiplier to deliver high-quality, scalable systems at 2x the velocity.You will be a pivotal contributor to our mission-critical infrastructure, scaling our RESTful APIs and optimizing proprietary algorithms that power global trade. You will play a crucial role in our migration to microservices, driving code quality and shaping the technical direction of our backend stack (Ruby on Rails, PostgreSQL, Redis/Sidekiq, RabbitMQ, and K8s). As a mentor, you will guide the team in mastering both the nuances of Ruby and the emerging art of AI-assisted refactoring and debugging.

Job Title: Senior Backend Engineer
Reports to: Engineering Manager
Location: Remote - Global.
Key Relationships: Marketing, Support, Engineering, Product.
Salary: $50,000-$75,000 + Equity (Dependant on Experience)

Work Hours: 9am GMT - 6pm GMT

What you Additionally need to know:

• Participate in the entire product life cycle

• AI-Driven Execution: Write clean, functional code while correctly leveraging AI-assisted development tools to speed up prototyping, debugging, and boilerplate generation

• Drive the development of a new product internally

• Provide training and support to internal teams

• Work closely with engineering leadership and product team to establish priorities and manage our technical road-map

• Help to mentor junior developers

• Bring new development ideas to benefit the business and grow your own skills

You Might Be a Good Fit If…

• Strong software development experience, incl. 7+ years of strong experience with Ruby on Rails and SQL databases

• AI Power user:Demonstrated ability to use AI tools to increase coding velocity, improve test coverage, and solve complex refactoring tasks efficiently.
• Demonstrated ability to use AI tools to increase coding velocity, improve test coverage, and solve complex refactoring tasks efficiently.

• Strong experience building highly scalable systems

• Ability to hold the team to high standards for security and data privacy practices

• Familiar with Git and Git flow; familiar with modern project management tools

• Standard of writing clean, reusable and maintainable code

• Familiarity with containerization (Docker, Kubernetes) and cloud platforms (GCP, AWS, or Azure)

• A background working in product teams at startups

If you’re excited about this role but don’t meet every requirement, we’d still love to hear from you.

What we bring to the table as an employer:

• Generous remuneration and stock units
• We reimburse gym and wellness expenses so you can invest in your health
• The freedom to ‘Work from Anywhere’ for 4 weeks in a year
• Generous vacation policy, plus duvet days and mental health days to truly recharge

How we value inclusion in our recruitment practices:

Easyship is an equal opportunity employer. We make all employment decisions—recruiting, hiring, pay, benefits, training, promotion, leave, and separation—based on qualifications, merit, and business needs. We do not discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity, marital status, age, disability, national or ethnic origin, veteran or military status, citizenship, or any other characteristic protected by law

Headquartered in London with offices in New York, Hong Kong, Bangalore, Singapore, Melbourne, Toronto, and Taipei – our team is global and growing. We encourage you to apply if a challenge excites you. Come and join the Easyship team!

Don't take it from us, take it from Cristina. One of our longest serving backend engineers.

We’re looking for an Application Support Specialist to ensure the stability, performance, and availability of business applications and systems used by internal teams. You will troubleshoot incidents, handle service requests, provide licenses, make payments, collaborate with engineering/product teams, and drive root-cause analysis to prevent recurring issues. This role requires strong technical troubleshooting, clear communication, and a structured approach to incident management.

✅ Duties and Responsibilities:

• Provide L2 application support for business systems and software (web apps, software APIs, Corporate IT and backoffice tools, SaaS platforms).
• Triage, troubleshoot, and resolve incidents and requests within agreed SLAs.
• Investigate issues using logs, monitoring tools and API testing.
• Perform root-cause analysis (RCA) and document findings, fixes, and preventive actions.
• Provide software licenses to the employees.
• Support systems: Maintain records of over 400 software units, grant/revoke access, verify access rights according to RBAC, write documentation
• Identify recurring problems and drive automation or process improvements to reduce ticket volume.
• Communicate updates to stakeholders during incidents (status, workaround, ETA, resolution).
• Participate in on-call/shift rotation if required.
• Incident/problem management: Working with Atlassian (Jira Service Desk, Software, Confluence)
• Full software management cycle within the company (implementation, support, procurement/payment, renewal, user management, system deactivation, access rights verification, automation)
• Technical Knowledge: Atlassian (Jira, Confluence), Microsoft 365, Trelica, Grafana, Okta, SAP/Dynamics, N8N, scripting, Postman.

✅ Requirements:

• 3+ years in application support / technical support / service operations (L2).
• Strong troubleshooting skills for web applications (HTTP, REST, auth basics, dev tools, SaaS Management tool).
• Experience working with ticketing systems (Jira Service Management, Software, Confluence.)
• Ability to read and interpret logs; familiarity with monitoring/alerting (Grafana, Kibana, Datadog).
• Scripting for automation (Python/Bash/PowerShell).
• Understanding of incident/problem management (ITIL concepts are a plus).
• Comfortable communicating with both technical and non-technical stakeholders.
• Strong documentation habits and attention to detail.
• Proactive and goal oriented mindset.

✅ Nice to have:

• Experience with Linux basics, containers, or cloud platforms (AWS/Azure/GCP).
• Basic understanding of networking (DNS, latency, firewalls) and SSO concepts.
• Strong experience with API tools (Postman/Insomnia) and message queues (Kafka/RabbitMQ).
• Experience working with a huge amount of systems.
• The desire and ability to organise and manage a large number of systems from scratch.

✅ We offer excellent benefits, including but not limited to:

💻 Learning and development opportunities and interesting, challenging tasks.
✈️ Relocation package (tickets, staying in a hotel for up to 2 weeks, and visa relocation support for our employees and their family members).
📚 Opportunity to develop language skills, with partial compensation for the cost of English and Portuguese language classes (for localization purposes).
🎾  Partial compensation for tennis and padel lessons.
🏀 Urban Sport membership benefit (the most diverse sports and wellness offering in Europe, with more than 50+ activities).
🏥 Private medical coverage, including inpatient, outpatient, dental care, annual check-ups, and maternity support.
🏝 Time for proper rest, with 24 non-business days per year and an additional 6 paid sick days.
🚌 Transport compensation - 200 euros net per month.
📈 Competitive remuneration level with annual review.
🤝 Teambuilding activities.

The Security Team keeps Feedzai products and systems secure. We work on risk reduction and security issue mitigation as we continue to move forward and grow. We maintain compliance and security best practices aligned with industry standards, as we work in a very regulated environment and do develop our own software and services. The Security Team is involved from the beginning of production to meet and exceed our client expectations and be the top SME in the industry. We run our own Security Operations Center services and incident response with state of the art tools. We are dynamic, tenacious, and driven by our passion for fighting financial fraud and crime with our socially responsible products. Join Us!

You:

We are looking for a Senior Security Compliance Engineer. You will be responsible for making sure that both our software & our infrastructure is safe, helping to protect our customers. 

Your Day to Day:

• Ensure compliance with core applicable standards and regulations (PCI DSS, ISO/IEC 27001 and 27701, SOC 2, NIST, GDPR) & participate in the audit processes;
• Support clients, vendors, and regulatory audits, assessments, and information security requests;
• Review, implement and oversight the effectiveness of Feedzai's security framework as well as ensuring their effectiveness;
• Perform security risk assessments and provide prioritized remediation recommendations;
• Develop, review, and maintain policies, processes, and standards and implement procedures, controls, and other measures to ensure compliance with internal and legal regulations and requirements.

You have & You Know-How

• Knowledge of compliance and regulatory frameworks (PCI DSS, ISO/IEC 27001, SOC 2, NIST, CIS, GDPR, etc.);
• Understanding of cloud security concepts (e.g.: Amazon Web Services (AWS) IAM, GCP or Azure security principles, etc.) and integrating security controls through DevOps and Infrastructure as a Service (IaaS) techniques;
• Excellent communication skills (written and verbal) with an ability to articulate complex topics in a clear and concise manner.
• Knowledge of container orchestration systems such as Kubernetes is welcomed.
• Experience working with Generative AI (GenAI) tools is a plus.

 #LI-Remote #LI-MG3

The Security Team keeps Feedzai products and systems secure. We work on risk reduction and security issue mitigation as we continue to move forward and grow. We maintain compliance and security best practices aligned with industry standards, as we work in a very regulated environment and do develop our own software and services. The Security Team is involved from the beginning of production to meet and exceed our client expectations and be the top SME in the industry. We run our own Security Operations Center services and incident response with state of the art tools. We are dynamic, tenacious, and driven by our passion for fighting financial fraud and crime with our socially responsible products. Join Us!

You

You’ll be working with a team that's responsible for the security across all ongoing initiatives, products, processes and applications at Feedzai. This will be a very senior role within this team, someone able to work across teams and coach other more junior team members also.

Your day–to–day

• Design and architect robust security controls with 'secure by default' principles, ensuring long-term maintainability and systemic incident resilience across the organization;
• Review technical designs to identify security weaknesses and provide assistance on how to address them;
• Provide subject matter expertise on security across ongoing initiatives to the organization;
• Lead the technical execution of multi-team security initiatives, influencing cross-team priorities and aligning technical roadmaps with direct business impact;
• Work closely with other functional areas and/or departments in the identification of requirements and designing of solutions;
• Produce high-quality narratives and investment cases supported by facts and data, translating complex security challenges into comprehensive business language for company-wide stakeholders;
• Perform internal and external penetration tests, ensuring timeliness and accuracy of reports;
• Assist in the support of compliance with core applicable standards and regulations (PCI DSS, ISO/IEC 27001, SOC 2, NIST, CIS, GDPR) and participate in the audit processes.

Your Have & You Know-How

• Willingness to learn and to stay up-to-date with the state of the art;
• Break things attitude, so that we can improve (hacker-type of attitude);
• Expert knowledge across web, application, hardware & network security;
• Solid understanding of encryption, key management & distribution;
• Extensive knowledge and experience with cloud service providers such as AWS, Azure, or GCP;
• Extensive knowledge with Kubernetes security;
• Knowledge of PCI DSS, ISO/IEC 27001, NIST, CIS, and GDPR standards and regulations preferred;
• Strong business and financial acumen, with the ability to understand the economic implications (cost efficiency, operational burden, time-to-value) of security engineering decisions;
• 4+ years of relevant professional experience;
• Demonstrated experience developing, deploying, and monitoring secure systems;
• Demonstrated experience implementing AI-driven approaches to optimize security workflows and leading the adoption of new AI technologies;
• Global experience in leading and supporting cross-functional projects, interacting effectively with all levels of the company;
• Track record of managing projects with quality, detail, and consistency;
• Background in engineering with a deep passion for making all things secure;
• Excellent communication skills (written and verbal) with an ability to articulate complex topics in a clear and concise manner.

 #LI-Remote #LI-MG3

Engineering at GoCardless 

The technical challenges of building GoCardless span from simplifying building banking schemes to optimising the time to render the dashboard. 

You will enjoy being a software engineer at GoCardless if:

• You’re looking to champion a great engineering culture within GC and in the wider engineering community; 
• You enjoy collaborating and learning from people from various backgrounds and experiences; 
• You want to feel proud of the work you’re doing and its impact on real customers.

Our engineers contribute to the engineering culture within and outside of GoCardless: they contribute to Open Source Software projects (see our Github), and share learnings in post-mortems, conferences and on our blog.

Our technologies: We endeavour to build simple, reliable systems and we believe in using the best technologies for each task. Technologies we use across GoCardless include:  JavaScript, TypeScript, React, Ruby on Rails, Golang, Python, Postgres, BigQuery, Kubernetes, Elasticsearch, Prometheus, Google Cloud (GCP).

You’re not expected to have expertise in all these technologies. Members of our team have picked up the tools once they’ve started working with the team. If you’re unsure, please apply.

About the Service Management Team

The Service Management team is here to help us move beyond manual tasks by building thoughtful, automated systems. We are not just looking to tweak existing processes. Instead, we want to create technology that handles the heavy lifting. We look at everything from how we scale our internal workflows to how we can use artificial intelligence to make our operations feel seamless and effortless for the people using them.

Working in this team means you will have a chance to see how all the different parts of GoCardless fit together. You will build integrations that connect our big data systems, our core payment product, and our fraud detection engines. This gives you a great deal of variety in your work and ensures you are never stuck in just one corner of the codebase. You will get to see the real-world impact of your code as it helps customers through every stage of their journey on our platform.

We believe that great engineering is a team sport and that we build better things when we include different perspectives and ways of thinking. We are looking for people who are naturally curious and enjoy figuring out how things work. This role is a great fit if you value collaboration, enjoy learning about different technologies, and like the idea of experimenting with new ways to solve a problem.

What excites you 

• You have a growth mindset, motivated by driving concrete business outcomes.
• You adapt to new technologies and processes quickly.
• You thrive in a collaborative environment and believe the best products are built through collaboration.
• You are passionate about building and improving products by experimenting, prototyping and applying an iterative approach to validate ideas and learn.

What excites us  

• You have experience building web products and services, and have an awareness of technologies across the stack.
• You adapt to new technologies and processes quickly.
• You thrive in a collaborative environment and believe the best products are built through collaboration.
• You care about building reliable, well-tested systems.
• You enjoy solving problems and are happy to take initiative to find better solutions.

Base salary range: €49,600 - €74,000

Base salary ranges are based on role, job level, location, and market data.  Please note that whilst we strive to offer competitive compensation, our approach is to pay between the minimum and the mid-point of the pay range until performance can be assessed in role. Offers will take into account level of experience, interview assessment, budgets and parity between you and fellow employees at GoCardless doing similar work.

Engineering at GoCardless 

The technical challenges of building GoCardless span from simplifying building banking schemes to optimising the time to render the dashboard. 

You will enjoy being a software engineer at GoCardless if:

• You’re looking to champion a great engineering culture within GC and in the wider engineering community; 
• You enjoy collaborating and learning from people from various backgrounds and experiences; 
• You want to feel proud of the work you’re doing and its impact on real customers.

Our engineers contribute to the engineering culture within and outside of GoCardless: they contribute to Open Source Software projects (see our Github), and share learnings in post-mortems, conferences and on our blog.

Our technologies: We endeavour to build simple, reliable systems and we believe in using the best technologies for each task. Technologies we use across GoCardless include:  JavaScript, TypeScript, React, Ruby on Rails, Golang, Python, Postgres, BigQuery, Kubernetes, Elasticsearch, Prometheus, Google Cloud (GCP).

You’re not expected to have expertise in all these technologies. Members of our team have picked up the tools once they’ve started working with the team. If you’re unsure, please apply.

About the Service Management Team

The Service Management team is here to help us move beyond manual tasks by building thoughtful, automated systems. We are not just looking to tweak existing processes. Instead, we want to create technology that handles the heavy lifting. We look at everything from how we scale our internal workflows to how we can use artificial intelligence to make our operations feel seamless and effortless for the people using them.

Working in this team means you will have a chance to see how all the different parts of GoCardless fit together. You will build integrations that connect our big data systems, our core payment product, and our fraud detection engines. This gives you a great deal of variety in your work and ensures you are never stuck in just one corner of the codebase. You will get to see the real-world impact of your code as it helps customers through every stage of their journey on our platform.

We believe that great engineering is a team sport and that we build better things when we include different perspectives and ways of thinking. We are looking for people who are naturally curious and enjoy figuring out how things work. This role is a great fit if you value collaboration, enjoy learning about different technologies, and like the idea of experimenting with new ways to solve a problem.

What excites you 

• You have a growth mindset, motivated by driving concrete business outcomes.
• You adapt to new technologies and processes quickly.
• You thrive in a collaborative environment and believe the best products are built through collaboration.
• You are passionate about building and improving products by experimenting, prototyping and applying an iterative approach to validate ideas and learn.

What excites us  

• You have experience building web products and services, and have an awareness of technologies across the stack.
• You adapt to new technologies and processes quickly.
• You thrive in a collaborative environment and believe the best products are built through collaboration.
• You care about building reliable, well-tested systems.
• You enjoy solving problems and are happy to take initiative to find better solutions.

Base salary range: €39,200 - €58,800

Base salary ranges are based on role, job level, location, and market data.  Please note that whilst we strive to offer competitive compensation, our approach is to pay between the minimum and the mid-point of the pay range until performance can be assessed in role. Offers will take into account level of experience, interview assessment, budgets and parity between you and fellow employees at GoCardless doing similar work.

About Us

Riskified empowers businesses to unleash ecommerce growth by taking risk off the table. Many of the world’s biggest brands and publicly traded companies selling online rely on Riskified for guaranteed protection against chargebacks, to fight fraud and policy abuse at scale, and to improve customer retention. Developed and managed by the largest team of ecommerce risk analysts, data scientists and researchers, Riskified’s AI-powered fraud and risk intelligence platform analyzes the individual behind each interaction to provide real-time decisions and robust identity-based insights. Riskified is proud to work with incredible companies in virtually all industries including Acer, Gucci, Lorna Jane, GoPro, and many more.

We thrive in a collaborative work setting, alongside great people, to build and enhance products that matter. Abundant opportunities to create and contribute provide us with a sense of purpose that extends beyond ourselves, leaving a lasting impact. These sentiments capture why we choose Riskified every day. 

About the Role

As a Full-Stack Developer in Riskified’s Core Services Group, you’ll build and maintain applications end-to-end using various technologies. Working in a dynamic, agile environment with cutting-edge technologies, you’ll contribute to expanding Riskified’s ecosystem.

Our developers take full ownership, from feature planning with Product and Design to selecting technologies, designing architecture, coding, reviewing, deploying in a CI/CD environment, and monitoring post-deployment.

The team focuses on customer-facing applications, including a core web tool that allows merchants to review orders, perform actions, and gain insights through advanced analytics. Whether you’re crafting precise UI, developing robust backend logic, or optimizing infrastructure for scale, you’ll have the opportunity to engage end-to-end.

Our Stack: Scala, Spark, Node.js, Ruby, React, Postgres, Elastic, Redis, AWS, Kafka, Docker, Kubernetes, CircleCI and much more.

What You'll Be Doing

• Design and develop a highly reliable, available, and scalable architecture for our core services and web applications in a new promising product
• Deploy your code to production daily (we have advanced CI/CD pipelines)
• Be a strong owner of production systems, keeping them running smoothly
• Active part in planning the team roadmap and products
• Collaborating with design and product teams to define and implement new features

Qualifications

• B.Sc. in Computer Science or equivalent certifications
• 5+ years of proven experience in hands-on server-side coding
• Hands-on experience in React
• Hands-on experience in Node - advantage
• Proven experience in full-stack development, with proficiency in both frontend and backend technologies.
• Strong understanding of databases (SQL, NoSQL) and familiarity with cloud services (AWS, GCP).
• Great attitude - an independent self-learner and a strong team player

Life at Riskified

We are a fast-growing and dynamic tech company with 750+ team members globally. We value collaboration and innovative thinking.

We’re looking for bright, driven, and passionate people to grow with us.

Some of our Lisbon Benefits & Perks:

• Hybrid mode of work
• Flexible schedule
• Healthcare & dental benefits
• Fully-stocked kitchens
• Benefits package per month—per your choice, e.g., work-from-home equipment, gym membership, wellbeing activities, and more.
• Wellness program
• Celebrations and activities
• Team events
• Happy hours
• Awesome Riskified gifts and swags
• Volunteer programs
• Personal development
• Global onboarding
• Role-based technical skills training
• Full access to Udemy

In the News

C-Tech: We need to find the balance between leveraging innovative AI solutions and using them cautiously

Built In: How We Built This: A Riskified Technologist Unpacks The Company’s Beacon Technology

Globes: Riskified is among Israel’s fastest growing companies  

Yahoo: Riskified Earns "Top Rated" Award Across Four TrustRadius Solution Categories

Riskified is deeply committed to the principle of equal opportunity for all individuals. We do not discriminate based on race, color, religion, sex, sexual orientation, national origin, age, disability, veteran status, or any other status protected by law.

Data at GoCardless 

You’ll sit in our Data & Business Systems group and will work with technical and non-technical people across the whole company. You’ll collaborate closely with our team of talented Analysts, Data Scientists, ML/AI Engineers and System Admins, designing and delivering first-class analytics to the business.

We’re a large team with an extensive remit and expect every member to work with initiative and be driven, holding each other accountable and to a high standard. Joining our team, you’ll work in a team that strives to be the best they can be. You’ll work on complex projects across GC’s data & business systems stack. 

You will enjoy being an analyst at GoCardless if:

• You’re looking to champion a great data culture within GC and in the wider data community. 
• You enjoy collaborating and learning from people from various backgrounds and experiences. 
• You want to feel proud of the work you’re doing and its impact on real customers.

Our technologies: We endeavour to build simple, reliable systems and we believe in using the best technologies for each task. Technologies we use across GoCardless include: Looker, Python, Looker, Google Cloud Platform, dbt, Airflow, Vertrex and Jupyter amongst others.

You’re not expected to have expertise in all these technologies. Members of our team have picked up the tools once they’ve started working with the team. 

The Role

At GoCardless we use marketing throughout the customer lifecycle to acquire new customers and drive revenue growth through our existing merchant base. As part of this role, you will be working closely across all marketing teams - paid, organic, lifecycle - to understand how their marketing efforts are helping to grow our merchant base and accelerate revenue. Your insights will be turned into actions as your expertise helps drive the future of GoCardless.

What excites you 

• Collaborate with Growth Marketing measuring how our Paid and Organic marketing strategies drive acquisition, engagement and revenue growth
• Partner with marketing stakeholders to define and monitor marketing KPIs and identify trends, risks and opportunities in customer and campaign data to inform strategy aligned with business objectives
• Assist marketing teams in A/B test design and execution and analysing results using statistical methods
• Ensure data quality, accuracy and consistency across all marketing sources
• Build data products that help to monitor the health of campaigns, continuously innovating on the practices and the tools we rely on to deliver the right insights at the right decision points (A/B Testing, Analysis (SQL), Visualisation (Looker, Domo), Tracking (Google Analytics), Automation (Python), AI (Gemini)).

What excites us  

Essentials:

• You have a background working in (performance) marketing analytics or a marketer looking for a more data focused role. 
• You have knowledge of common marketing measurement metrics, tools & methodology.
• You are a self-starter, focused on results, with a demonstrated background in using analytics to drive the understanding, growth, and success of marketing campaigns
• You have experience with data visualisation tools and communicating findings from complex data sets in an accessible way
• You are proficient in basic SQL

Nice to have:

• A basic knowledge of Python/R is advantageous but not essential
• You have experience leveraging AI capabilities to enhance data analysis, automate tasks, and improve decision-making processes

We don’t expect you to meet every requirement. If you’re excited by this role, we encourage you to apply.

Base salary range: €32,000 - €48,000 

Base salary ranges are based on role, job level, location, and market data. Please note that whilst we strive to offer competitive compensation, our approach is to pay between the minimum and the mid-point of the pay range until performance can be assessed in role. Offers will take into account level of experience, interview assessment, budgets and parity between you and fellow employees at GoCardless doing similar work.

Data at GoCardless 

You’ll sit in our Data & Business Systems group and will work with technical and non-technical people across the whole company. You’ll collaborate closely with our team of talented Analysts, Data Scientists, ML/AI Engineers and System Admins, designing and delivering first-class analytics to the business.

We’re a large team with an extensive remit and expect every member to work with initiative and be driven, holding each other accountable and to a high standard. Joining our team, you’ll work in a team that strives to be the best they can be. You’ll work on complex projects across GC’s data & business systems stack. 

You will enjoy being an analyst at GoCardless if:

• You’re looking to champion a great data culture within GC and in the wider data community; 
• You enjoy collaborating and learning from people from various backgrounds and experiences; 
• You want to feel proud of the work you’re doing and its impact on real customers.

Our technologies: We endeavour to build simple, reliable systems and we believe in using the best technologies for each task. Technologies we use across GoCardless include: Looker, Domo, Tableau, Python, Looker, Google Cloud Platform, dbt, Airflow, Supermetrics & Demandbase amongst others.

You’re not expected to have expertise in all these technologies. Members of our team have picked up the tools once they’ve started working with the team. 

The Role

At GoCardless, we excel in experimentation to optimise user acquisition, activation, and retention through continuous discovery and data-driven decision making. As a Growth Analyst, you will partner across Growth, Commercial Strategy, and the wider Data & Business Systems team to design and deliver analytics that shape our self-serve business. You will be instrumental in evaluating performance across the full funnel — from acquisition to monetisation — and in generating insights that influence strategic decisions. 

What excites you 

• Shape commercial measurement across the funnel, collaborating with Growth Marketing, Sales, Commercial Finance and Product to track and evaluate how our acquisition, activation, and monetisation initiatives drive incremental customer and revenue growth.
• You will translate complex data into clear, actionable recommendations that inform go-to-market strategy, pricing, and self-serve optimisation
• Be responsible for defining how we understand return on investment & growth across growth initiatives 
• Proactively identify the biggest growth opportunities in our key channels by delivering deep analysis into customer segments, lifetime values (LTVs), diminishing returns etc and helping the team to prioritise and implement.
• Applying quantitative analysis, generate actionable insights and drive the adoption of your proposed changes in marketing by influencing stakeholders
• Continuously innovate on the practices and the tools we rely on to deliver the right insights at the right decision points (A/B Testing, Analysis (SQL), Visualisation (Looker, Domo), Tracking (Amplitude), Automation (Python), AI (Gemini, Claude)

What excites us  

• You bring strong analytical skills with experience linking data to revenue outcomes — whether through funnel analysis, cohort performance, pricing impact, or channel economics.
• You can distil complex analysis into clear recommendations for commercial and non-technical stakeholders, influencing strategy across Growth, Marketing, and Product.
• You have a bias for experimentation and discovery, always seeking ways to uncover new opportunities to improve acquisition, activation, retention, and monetisation.
• You have a background working in similar commercial analytics roles and have a deep understanding of the domain & and are very knowledgeable of growth strategies
• You are a self-starter, focused on results, with a demonstrated background in using analytics to drive the commercial strategy
• You have extensive experience owning and developing experiment processes, including running A/B tests, and have a very strong understanding of testing and experimental design
• You have extensive experience with data visualisation tools mentioned above and demonstrate storytelling ability with data in order to influence decision making and growth understanding
• You have advanced SQL skills and intermediate Python/R skills & have experience leveraging AI capabilities to enhance data analysis, automate tasks, and improve decision-making processes

We don’t expect you to meet every requirement. If you’re excited by this role, we encourage you to apply.

Base salary range: €41,600 - €62,400

Base salary ranges are based on role, job level, location, and market data.  Please note that whilst we strive to offer competitive compensation, our approach is to pay between the minimum and the mid-point of the pay range until performance can be assessed in role. Offers will take into account level of experience, interview assessment, budgets and parity between you and fellow employees at GoCardless doing similar work.

Your Mission

As an IT Automation & Integration Engineer in the IT Systems & Services (ITSS) team, you will play a key role in driving scalable, secure, and intelligent automation across Catawiki’s internal systems. Your mission is to reduce manual work, enhance data and process consistency, and enable seamless cross-system experiences through well-designed, resilient integrations.
You’ll build smart, reusable automation workflows using both cloud-native infrastructure and modern Integration Platform as a Service (iPaaS) solutions, such as N8N. Working closely with stakeholders across IT, People, and Finance, you’ll translate business needs into system integrations that are efficient, secure, and built to scale.

This is a hands-on engineering role involving scripting (Python, Node.js), cloud orchestration, API integrations, Slack bot development, and the integration of AI capabilities using LLMs such as OpenAI.

What You’ll Do

• Design & Implement Automation Workflows: Develop and maintain automations across platforms like Okta, Jamf, Jira, Slack, HiBob, HubSpot, and Google Workspace using both custom code and iPaaS tools.
• Build and Manage System Integrations: Architect and deploy system integrations using REST APIs, Webhooks, and OpenAPI specifications, ensuring reliable and secure data flows across internal platforms.
• Automation Scripting (Python/Node.js) and iPaaS (N8N): Write robust automation scripts in Python and Node.js for complex logic. Use the N8N iPaaS platform to accelerate integration delivery, manage low-code/no-code connectors, and support event-driven workflows.
• Develop Slack Bots: Build scalable and secure Slack bots that connect to internal tools for automated actions, workflows, and notifications using Slack APIs.
• Use GCP for Backend Logic: Implement cloud-based automation with GCP services like Cloud Functions for processing, orchestration, and data handling.
• Infuse AI & LLM Capabilities: Incorporate AI-driven logic using OpenAI to enhance workflows, enable intelligent decision-making, and support natural language processing.
• Collaborate & Document: Translate business needs into technical requirements; maintain clear documentation of architecture, data mappings, automation workflows, and API logic.
• Monitor, Optimise & Secure: Monitor system health and workflow execution, troubleshoot integration issues, and enforce compliance with privacy and InfoSec standards.

What You’ll Bring

• Experience & Background
• 5+ years of experience in IT automation, system integration, or infrastructure engineering.
• Direct experience working with or managing iPaaS platforms such as Okta Workflow,  N8N, Workato, Tray.io, Boomi, Zapier, or MuleSoft. Preferably, direct experience producing production-grade automations in N8N.
• Technical Skills
• Proficient in Python and Node.js for automation and scripting.
• Proficient in using iPaaS, N8N, or any other iPaaS platforms for automations.
• Solid understanding of REST APIs, SOAP, Webhooks, OAuth2, JSON/XML.
• Familiarity with system integrations for tools like HiBob, Workday, Okta, Jamf, Google Workspace, Jira, and HubSpot.
• Cloud & Platform Knowledge
• Hands-on experience with Google Cloud Platform (Cloud Functions). Deep knowledge of Slack APIs and building internal bots for team workflows.
• AI Integration Awareness
• Experience or familiarity in integrating LLMs and AI services, including OpenAI, into automation pipelines.
• Operational & Interpersonal Strengths
• Strong analytical and debugging skills for complex, multi-system environments.
• Ability to design integrations with security, observability, and scalability in mind.
• Comfortable working cross-functionally with both technical and business teams.

Where You’ll Be 

This is a Hybrid role based in Lisbon, Portugal. You will work from our Lisbon Office at least 2 days per week.

In Return

You'll be part of an enthusiastic, highly motivated team of 850+ Catawikians.

• A competitive Annual Gross Base Salary depending on your level, competencies, and overall experience.
• Meal Allowance Card stipend per working day, in addition to salary.
• Health Insurance from day 1 (including dental coverage), with access to multiple hospitals and clinics and a vast wellness network.
• A Work From Home Allowance to help with your monthly household bills.
• Commuting between your home and our office is covered by Catawiki.
• Amazing Office right in the centre of Lisbon.

Why we're hiring:

We are on a mission to build a world‑class Product Engineering organisation within WPP Data, Tech Solutions that will redefine how WPP operates at scale. To achieve this, we are establishing a brand new, dedicated Talent Acquisition team specifically focused on securing the best engineering talent globally. This isn't just about filling roles; it's about shaping a talent strategy, building a distinctive employer brand for engineering, and directly contributing to WPP’s technology and data transformation.

Reporting To: Lead Talent Acquisition Partner, Product Engineering

What you'll be doing:

As a Senior Talent Acquisition Delivery Partner, Product Engineering, you will be a pivotal member of this elite team, taking on complex and critical engineering leadership searches. You will not only be instrumental in sourcing, attracting, and hiring top‑tier product engineers but will also play a significant role in establishing best practices, mentoring junior team members, and directly influencing our overall talent strategy and employer brand for engineers. This role offers a unique opportunity to help architect recruitment processes and culture from the ground up.

This is an advanced end‑to‑end recruitment role where you will operate as a specialist to the Product Engineering business. You will be responsible for the full lifecycle of talent acquisition, focusing on niche product engineering roles, from strategic sourcing and candidate engagement through to offer negotiation and onboarding preparation.

Beyond direct recruitment, you will significantly contribute to and help influence the overall talent strategy for WPP Data, Tech Solutions, identifying market trends and shaping our approach to attracting world‑class engineering talent

What you'll need:

Strategic Partnership & Influence:
Proactively collaborate with Product Engineering hiring managers and senior leaders to deeply understand their technical roadmaps, strategic objectives, and long‑term talent needs. Act as a trusted TA SME, providing proactive market insights, competitive intelligence, and help TA leadership in the strategic recommendations on talent acquisition strategies.

Full‑Cycle Recruitment for Critical Roles:
Delivery of the entire recruitment process for highly specialised, senior, and level Product Engineering roles (e.g., Principal Engineers, Architects, Engineering Managers, Staff Engineers, Senior DevOps/SRE, Data Science Leads, Technical Product Leaders), from initial brief to successful hire.

Advanced Sourcing & Talent Mapping:
Develop and execute sophisticated, multi‑channel sourcing strategies, including proactive talent mapping, to identify and engage highly passive and in‑demand technical candidates. Leverage platforms such as LinkedIn Recruiter, GitHub, Stack Overflow, niche tech communities, industry events, executive search networks, and other creative channels, often mentoring others on best practice.

Exceptional Candidate Experience:
Deliver a best‑in‑class, high‑touch candidate experience for technical talent, acting as a premier brand ambassador for WPP. Ensure clear, empathetic, and professional communication at every stage, setting the standard for the team.

Market Intelligence & Employer Branding Leadership:
Proactively gather and synthesise actionable market intelligence on talent availability, compensation benchmarks, and competitor activity to inform and shape hiring strategies. Take a leading role in developing and promoting the WPP Data, Tech Solutions employer brand within the product engineering community through strategic content, events, and partnerships.

What You'll Bring:

• Proven Experience (8+ years): Significant hands-on experience in full-cycle Talent Acquisition, with a dedicated focus on recruiting Product Engineering talent in fast-paced, high-growth, and complex enterprise or agency-like environments.
• Domain Expertise: Understanding of modern software development methodologies (Agile, Scrum, Kanban) and the product development lifecycle.
• Technical Acumen: Ability to speak confidently about and understand various programming languages (e.g., Python, JavaScript, TypeScript, NodeJS, .Net), cloud platforms (AWS, Azure, GCP), microservices architectures, data technologies, DevOps tools, and similar development frameworks. You don't need to be an engineer, but you must "get" engineering.
• Complex Environment Experience: Demonstrated ability to navigate and succeed within large, matrixed organizations, managing multiple stakeholders and competing priorities. Experience within a global or multi-brand environment is highly advantageous.
• "Builder" Mindset: A proactive, self-starter attitude with experience contributing to the setup or scaling of recruitment functions, processes, or teams from scratch. Comfort with ambiguity and a desire to shape the future.
• Strategic Sourcing Mastery: Expert-level proficiency in direct sourcing techniques and tools, with a track record of identifying and engaging passive, in-demand technical talent.

• AI & Technology‑Led Recruitment Mindset:
  Experience applying AI‑enabled sourcing approaches and recruitment technologies to improve efficiency, quality of hire, and candidate engagement, with a clear understanding of where automation adds value and where human judgement remains critical.

• Stakeholder Management: Exceptional interpersonal and communication skills, with the ability to build strong, credible relationships with hiring managers, leadership, and candidates at all levels.
• Data & Metrics Orientation: Proficient in using Applicant Tracking Systems (ATS - e.g., Greenhouse, Workday) and recruitment analytics to drive insights and improve performance.
• Influence & Negotiation: Strong persuasion, negotiation, and closing skills.
• D&I Advocate: A genuine commitment to fostering an inclusive hiring process and building diverse teams.

Who you are:

You're open: We are inclusive and collaborative; we encourage the free exchange of ideas; we respect and celebrate diverse views. We are open-minded: to new ideas, new partnerships, new ways of working.

You're optimistic: We believe in the power of creativity, technology and talent to create brighter futures or our people, our clients and our communities. We approach all that we do with conviction: to try the new and to seek the unexpected.

You're extraordinary: we are stronger together: through collaboration we achieve the amazing. We are creative leaders and pioneers of our industry; we provide extraordinary every day.

What we'll give you:

Passionate, inspired people – We aim to create a culture in which people can do extraordinary work.

Scale and opportunity – We offer the opportunity to create, influence and complete projects at a scale that is unparalleled in the industry.

Challenging and stimulating work – Unique work and the opportunity to join a group of creative problem solvers. Are you up for the challenge?

#LI-Hybrid 

What you will be doing:

We are seeking a highly skilled Senior Site Reliability Engineer (SRE) to join our Data Infrastructure team. You will be responsible for ensuring the reliability, availability, and performance of our critical data systems running on AWS and GCP. Your expertise in cloud infrastructure, automation, and operational excellence will be crucial in supporting our Product trough our global client base.

As a Senior Site Reliability Engineer you will:

• Design, implement, and maintain highly available and reliable data infrastructure services, including SQL, NoSQL, Kafka, and Spark-based data layers. Define and monitor Service Level Objectives (SLOs) and Service Level Agreements (SLAs).
• Participate in an on-call rotation to respond to incidents and ensure rapid resolution of production issues. Conduct thorough post-incident reviews to identify root causes and implement preventative measures.
• Manage and automate cloud infrastructure using Terraform and Helm, adhering to GitOps principles.
• Implement and maintain comprehensive monitoring, logging, and tracing solutions to proactively identify and resolve performance and reliability issues.
• Monitor and manage data infrastructure capacity, plan for future growth, and optimize performance through tuning and automation.
• Develop and maintain automation scripts and tools to streamline operational tasks, improve efficiency, and reduce manual effort.
• Ensure the security and compliance of data infrastructure services, implementing best practices for access control, data protection, and vulnerability management.
• Collaborate with development and data engineering teams to ensure smooth deployments and operational support. Maintain thorough documentation of infrastructure configurations, processes, and procedures.
• Manage and maintain distributed databases running within a Kubernetes environment.

Our Tech Stack:

• Cloud-Based Infrastructure: Fully cloud-based with a Kubernetes-focused tech stack. Compute workloads run in Kubernetes clusters across multiple regions.
• Infrastructure Management: Heavy use of Terraform and Helm, adhering to GitOps paradigms for managing cloud infrastructure and Kubernetes applications.
• Core Technologies: Extensive use of Kafka, distributed PostgreSQL and Cassandra QL, Elasticsearch, and Databricks/Spark. Development of inter-cloud failover options to support multi-cloud plans.
• Wide Array of Applications: Teams build and release containerised applications for low latency APIs, machine learning models, and data processing pipelines.

About You:

• Experience as an SRE managing cloud infrastructure (AWS and/or GCP) and data systems (Apache Kafka, Apache Spark, Elasticsearch, PostgreSQL, Cassandra). Proven track record of improving reliability and availability in complex production environments.
• Extensive experience codifying infrastructure using Terraform and Helm charts.
• Proven experience managing and troubleshooting distributed databases within Kubernetes.
• Deep understanding of monitoring, logging, and tracing tools and techniques.
• Strong incident response and troubleshooting skills.
• Proficiency in scripting and automation tools.
• Understanding of security best practices for cloud infrastructure and data systems.
• Familiarity with CI tooling, test pipelines, and asset generation (e.g., Docker images, Helm charts). Understanding of security considerations in data systems.

Education:

• BSc/BA degree in computer science, engineering, or related discipline OR equivalent experience in required skills.

Nice to have

• Familiarity with distributed SQL and NoSQL databases such as Yugabyte, Cockroach, Spanner, HBase, or CouchDB.
• Familiarity with data modelling, sharding, and indexing strategies for large-scale databases.

What’s in it for you? 

• Equity as we want you to have a part of what we are building 
• Private medical insurance designed to keep you ensuring peace of mind while you excel in your career
• Unlimited Time Off Policy- A work-life balance and focus on our well-being are critical to keeping us performing at our best 
• We embrace a hybrid approach that requires employees to be in the office for two days a week. We strongly believe that this approach fosters collaboration and enables the building of meaningful relationships
• You will also get a new starter budget to kit out your home office 
• Opportunity to work on innovative projects with smart-minded people keen to share their knowledge and continuously improve 
• Annual learning budget (prorated based on start date) to drive your performance and career development 

We are looking for a driven and experienced Site Reliability Engineering Manager to join our innovative Tech Team. You will lead and empower a team of SREs, partnering closely with Engineering, Product, and Security to ensure our platforms are resilient, scalable, and secure. You will play a key role in shaping reliability strategy, improving system performance, and embedding best practices in observability, incident management, and automation to support the delivery of high-impact solutions in the fight against financial crime.

As a Site Reliability Engineering (SRE) Manager, you will:

• Take ownership of your team, being responsible for current team members’ growth and development, plus hiring and onboarding new team members
• Create a positive environment where your team members thrive to deliver the best outcomes and innovations
• Be a role model for your team, mentoring and coaching them, whilst having a learning mindset yourself, being open to new ideas and technologies
• Within the context of our broader technology vision, set the direction for your team and take accountability for tech decisions 
• Use your specific experience working with cloud systems to input into technical decision-making
• Work with other stakeholders across engineering to ensure the systems and services your team provides meet the needs of your internal customers
• Collaborate, both within your team and across the tribe to ensure your team’s implementation meets industry standards

The role reports to the Director of Infrastructure. You’ll be managing a team of Engineers focused on the provision and support of our Stateful / Data layer technologies powering all of our services, both in development and production. The main technologies we use are YugaByte (sharded Postgres), Kafka (via Strimzi), Elasticsearch (via ECK), Redis and Spark/data warehousing on GCP and AWS using their PaaS systems. As the technology stack underpins all other engineering work, a collaborative mindset is a must.

Our tech stack:

ComplyAdvantage is fully cloud-based, with a modern kubernetes-focused tech stack. All compute workloads run in Kubernetes, with clusters in multiple regions to support the needs of our global client base. Our production services are multi-cloud by design and are currently hosted in AWS and GCP.

We make heavy use of Terraform and Helm to define our infrastructure and services, and lean heavily on GitOps paradigms - production and non-production environments are defined in git and changes to these environments (both cloud infrastructure and Kubernetes applications) are managed via git.

ArgoCD is our tool of choice for controlling our deployments, and paired with our Istio mesh, allows us for advanced deployment patterns used by our development teams such a progressive rollouts. Our observability stack consists of Grafana Cloud, along with some on-prem Mimir, amongst others. We focus on Open Telemetry for application metrics, with SLO and metric driven alerting at all levels, from Cloud infra through to application performance.

Across the wider Technology team, teams build and release containerised applications to support the wide array of activities that our teams are engaged in - from developing low latency client-facing APIs, to machine learning models and data processing pipelines.

About you:

As an Site Reliability Engineering (SRE) Manager, you will

• Have experience of managing and growing high performing engineering teams
• Have experience with Kubernetes and Terraform
• Have experience hosting microservices-based architectures
• Have experience of working with cloud native architectures (AWS and GCP are preferred)
• Have good communication and writing skills including experience writing technical documentation

Nice to haves:

• Experience of working in a start-up/ scale-up environment
• Have experience managing observability platforms, whether self-hosted or third party - eg Grafana stack, Datadog, NewRelic
• Have experience managing pipeline tools, whether self-hosted or third party - eg CircleCI, ArgoCD, Harness, etc

Benefits:

• Equity as we want you to have a part of what we are building 
• Private medical insurance designed to keep you ensuring peace of mind while you excel in your career
• Unlimited Time Off Policy- A work-life balance and focus on our well-being are critical to keeping us performing at our best 
• We embrace a hybrid approach that requires employees to be in the office for two days a week. We strongly believe that this approach fosters collaboration and enables the building of meaningful relationships
• You will also get a new starter budget to kit out your home office 
• Opportunity to work on innovative projects with smart-minded people keen to share their knowledge and continuously improve 
• Annual learning budget (prorated based on start date) to drive your performance and career development 

• Proven Experience (8+ years): Significant hands-on experience in full-cycle Talent Acquisition, with a dedicated focus on recruiting Product Engineering talent in fast-paced, high-growth, and complex enterprise or agency-like environments.
• Domain Expertise: Understanding of modern software development methodologies (Agile, Scrum, Kanban) and the product development lifecycle.
• Technical Acumen: Ability to speak confidently about and understand various programming languages (e.g., Python, JavaScript, TypeScript, NodeJS, .Net), cloud platforms (AWS, Azure, GCP), microservices architectures, data technologies, DevOps tools, and similar development frameworks. You don't need to be an engineer, but you must "get" engineering.
• Complex Environment Experience: Demonstrated ability to navigate and succeed within large, matrixed organizations, managing multiple stakeholders and competing priorities. Experience within a global or multi-brand environment is highly advantageous.
• "Builder" Mindset: A proactive, self-starter attitude with experience contributing to the setup or scaling of recruitment functions, processes, or teams from scratch. Comfort with ambiguity and a desire to shape the future.
• Strategic Sourcing Mastery: Expert-level proficiency in direct sourcing techniques and tools, with a track record of identifying and engaging passive, in-demand technical talent.
• Stakeholder Management: Exceptional interpersonal and communication skills, with the ability to build strong, credible relationships with hiring managers, leadership, and candidates at all levels.
• Data & Metrics Orientation: Proficient in using Applicant Tracking Systems (ATS - e.g., Greenhouse, Workday) and recruitment analytics to drive insights and improve performance.
• Influence & Negotiation: Strong persuasion, negotiation, and closing skills.
• D&I Advocate: A genuine commitment to fostering an inclusive hiring process and building diverse teams.

• Experience recruiting for ad-tech, marketing-tech, or media technology platforms.
• A strong network within the product engineering community.
• Experience contributing to employer branding initiatives specifically for tech talent.
• Worked in both agency and in-house talent acquisition roles.

• Shape the Future: Be a foundational member of a high‑impact team at the heart of WPP’s data and technology transformation.
• Build & Lead from Scratch: Help define and scale a strategically critical talent function.
• Significant Impact: Secure the engineering talent powering platforms used by global brands and millions of consumers.
• Accelerated Growth: Develop your career within a complex, global, and highly innovative organisation.
• Innovative Culture: Work in a collaborative environment with a strong focus on engineering excellence, data, and technology.

The role

Data sits at the core of our mission. We leverage bank account data to deliver high-value, intelligent payment solutions for our customers, from enhancing payment success rates to driving payer fraud prevention.

As a Data Science Manager within our Payment Intelligence team, you’ll partner with Software Engineers, Product Managers, and Designers to turn big ideas into reality. You’ll own the full lifecycle of our algorithms, shaping everything from the initial concept to production-ready code that powers our global payment network.

At GoCardless, our stack is centered around Google Cloud Platform and Vertex AI, providing a high-performance environment for innovation. Our Data Scientists operate at the intersection of Python, SQL, and BigQuery to build and deploy high-performance models at scale.

What you’ll do

• Manage and mentor a high-performing team of Data Scientists, fostering a culture of technical excellence and supporting their long-term career development.
• Oversee the end-to-end lifecycle of mission-critical ML models that power real-time payment decisions.
• Shape the strategic roadmap for the Payment Intelligence space, translating complex data challenges into actionable, high-impact goals.
• Drive cross-functional impact by working closely across disciplines to build end-to-end technical solutions, from concept to production.
• Influence Senior Leadership by acting as the bridge between technical complexity and business value, communicating ML strategy to senior stakeholders.

What excites you

• Driving cutting-edge advancements in Data, AI, and Machine Learning within the payments space with a multidisciplinary team.
• Mentoring a high-performing team and fostering a culture of technical excellence.
• Solving the complex, real-time challenges of fraud prevention and payment optimisation at scale.
• Building production-grade ML models on a streamlined GCP and Vertex AI stack to drive fintech innovation.

What excites us

• 2+ years managing Data Scientists within complex, high-stakes domains.
• A hands-on leader comfortable diving into the codebase. You bring strong expertise in Python and SQL to oversee the full lifecycle of a model, from initial prototype to robust production deployment.
• A decisive collaborator who can navigate technical trade-offs and translate complex ML concepts for cross-functional stakeholders and leadership.
• Familiarity with complex data environments and model architectures, such as deep learning (experience in Fintech, Fraud Prevention, or Payments is a big plus).

The role

Fraud prevention is an ever-evolving puzzle, making it one of the most rewarding and impactful areas in fintech. At GoCardless, our Fraud Prevention team develops the intelligent systems that protect our platform, our merchants, and their customers.

As a Senior Data Scientist, you will guide the design and delivery of models that operate in real time across our global payment network. You’ll work at the intersection of machine learning, graph-based detection, and behavioural modelling to stay ahead of changing patterns turning research into production systems that make a tangible difference in the fight against financial crime.

You’ll collaborate closely with Engineers, Fraud Analysts, and Product Managers to help shape the technical roadmap as we expand into new markets. Our stack is centred around Google Cloud Platform and Vertex AI, using Python, SQL, and BigQuery to build and support high-performance models at scale.

What you'll do

• Contribute to the full model lifecycle, from initial discovery and feature engineering through to production, experimentation, and continuous monitoring.
• Design and refine real-time ML systems that reduce false positives and ensure a smooth, secure experience for legitimate customers.
• Foster a responsive feedback loop, adapting models as patterns evolve to ensure our defences remain robust and effective.
• Help shape the technical direction of fraud prevention ML at GoCardless, exploring new approaches as we grow globally.
• Support the team’s growth through technical mentorship, knowledge sharing, and a commitment to high-quality code.

What excites you

• Solving complex, dynamic problems: Developing systems that can adapt and respond to changing environments.
• End-to-end ownership: Seeing a project through from a conceptual business need to a live, impactful solution.
• Strategic influence: Contributing to the ML roadmap and helping determine what we build next, rather than just how we build it.
• Holistic Data Science: Engaging in deep-dive analysis, prototyping, and live experimentation.
• Modern Infrastructure: Building production-grade models on GCP and Vertex AI, with the flexibility to explore advanced architectures.

What excites us

• You hold a degree (or PhD) in a STEM discipline, or bring equivalent depth through commercial experience.
• You have hands-on experience with modelling approaches such as deep learning, graph-based methods, or sequence models. While fintech experience is great, we value transferable skills from fields like cybersecurity or risk modelling.
• You have a track record of deploying models in production that create measurable value.
• You can translate complex ML concepts into clear, practical solutions for stakeholders across the business.
• You enjoy writing clean code and helping the team thrive through thoughtful reviews and shared learning.

The role

Data sits at the core of our mission. We leverage bank account data to deliver high-value, intelligent payment solutions for our customers, from enhancing payment success rates to driving payer fraud prevention.

As a Senior Data Scientist within our Payment Intelligence team, you’ll partner with Software Engineers, Product Managers, and Designers to turn big ideas into reality. You’ll own the full lifecycle of our algorithms, shaping everything from the initial concept to production-ready code that powers our global payment network.

At GoCardless, our stack is centered around Google Cloud Platform and Vertex AI, providing a high-performance environment for innovation. Our Data Scientists operate at the intersection of Python, SQL, and BigQuery to build and deploy high-performance models at scale.

What you’ll do

• Lead the end-to-end delivery of models at scale, from initial discovery and feature engineering to production, A/B testing and continuous monitoring.
• Collaborate with product and engineering peers to turn complex data into real-time, mission-critical fraud prevention solutions.
• Raise the team’s collective bar through hands-on technical leadership and knowledge sharing.
• Proactively research and integrate latest developments in ML and payer fraud prevention to drive innovation at GoCardless.

What excites you

• Being a self-starter who thrives on taking a vague business problem and owning the journey from the first prototype to a live, measurable solution.
• An opportunity to introduce and scale advanced architectures to solve high-stakes fraud and payment challenges.
• Moving beyond execution to help define the technical roadmap for Payer Fraud Prevention, ensuring we leverage the best tools for the job.
• Building production-grade ML models on a streamlined GCP and Vertex AI stack to drive fintech innovation.

What excites us

• You hold a degree (or PhD) in a STEM discipline or an equivalent commercial experience.
• You bring hands-on experience with sophisticated architectures, such as deep learning, graph-based, or sequence-based models (experience in Fintech, Fraud Prevention, or Payments is a big plus).
• You can translate complex ML concepts into practical product solutions and communicate these ideas clearly to non-technical peers.
• You are comfortable owning the full lifecycle, from deep-dive analysis and feature engineering to prototyping, validation, and live A/B testing.
• You lead by example, writing clean, high-quality code and raising the team’s technical bar through knowledge sharing and code best practices.

The role

Fraud prevention is an ever-evolving puzzle, making it one of the most rewarding and impactful areas in fintech. At GoCardless, our Fraud Prevention team develops the intelligent systems that protect our platform, our merchants, and their customers.

As a Senior Data Scientist, you will guide the design and delivery of models that operate in real time across our global payment network. You’ll work at the intersection of machine learning, graph-based detection, and behavioural modelling to stay ahead of changing patterns turning research into production systems that make a tangible difference in the fight against financial crime.

You’ll collaborate closely with Engineers, Fraud Analysts, and Product Managers to help shape the technical roadmap as we expand into new markets. Our stack is centred around Google Cloud Platform and Vertex AI, using Python, SQL, and BigQuery to build and support high-performance models at scale.

What you'll do

• Contribute to the full model lifecycle, from initial discovery and feature engineering through to production, experimentation, and continuous monitoring.
• Design and refine real-time ML systems that reduce false positives and ensure a smooth, secure experience for legitimate customers.
• Foster a responsive feedback loop, adapting models as patterns evolve to ensure our defences remain robust and effective.
• Help shape the technical direction of fraud prevention ML at GoCardless, exploring new approaches as we grow globally.
• Support the team’s growth through technical mentorship, knowledge sharing, and a commitment to high-quality code.

What excites you

• Solving complex, dynamic problems: Developing systems that can adapt and respond to changing environments.
• End-to-end ownership: Seeing a project through from a conceptual business need to a live, impactful solution.
• Strategic influence: Contributing to the ML roadmap and helping determine what we build next, rather than just how we build it.
• Holistic Data Science: Engaging in deep-dive analysis, prototyping, and live experimentation.
• Modern Infrastructure: Building production-grade models on GCP and Vertex AI, with the flexibility to explore advanced architectures.

What excites us

• You hold a degree (or PhD) in a STEM discipline, or bring equivalent depth through commercial experience.

• You have hands-on experience with modelling approaches such as deep learning, graph-based methods, or sequence models. While fintech experience is great, we value transferable skills from fields like cybersecurity or risk modelling.
• You have a track record of deploying models in production that create measurable value.
• You can translate complex ML concepts into clear, practical solutions for stakeholders across the business.
• You enjoy writing clean code and helping the team thrive through thoughtful reviews and shared learning.

Base salary range: €64,000 - €96,000

Base salary ranges are based on role, job level, location, and market data.  Please note that whilst we strive to offer competitive compensation, our approach is to pay between the minimum and the mid-point of the pay range until performance can be assessed in role. Offers will take into account level of experience, interview assessment, budgets and parity between you and fellow employees at GoCardless doing similar work.

The role

Fraud prevention is an ever-evolving puzzle, making it one of the most rewarding and impactful areas in fintech. At GoCardless, our Fraud Prevention team develops the intelligent systems that protect our platform, our merchants, and their customers.

As a Senior Data Scientist, you will guide the design and delivery of models that operate in real time across our global payment network. You’ll work at the intersection of machine learning, graph-based detection, and behavioural modelling to stay ahead of changing patterns turning research into production systems that make a tangible difference in the fight against financial crime.

You’ll collaborate closely with Engineers, Fraud Analysts, and Product Managers to help shape the technical roadmap as we expand into new markets. Our stack is centred around Google Cloud Platform and Vertex AI, using Python, SQL, and BigQuery to build and support high-performance models at scale.

What you'll do

• Contribute to the full model lifecycle, from initial discovery and feature engineering through to production, experimentation, and continuous monitoring.
• Design and refine real-time ML systems that reduce false positives and ensure a smooth, secure experience for legitimate customers.
• Foster a responsive feedback loop, adapting models as patterns evolve to ensure our defences remain robust and effective.
• Help shape the technical direction of fraud prevention ML at GoCardless, exploring new approaches as we grow globally.
• Support the team’s growth through technical mentorship, knowledge sharing, and a commitment to high-quality code.

What excites you

• Solving complex, dynamic problems: Developing systems that can adapt and respond to changing environments.
• End-to-end ownership: Seeing a project through from a conceptual business need to a live, impactful solution.
• Strategic influence: Contributing to the ML roadmap and helping determine what we build next, rather than just how we build it.
• Holistic Data Science: Engaging in deep-dive analysis, prototyping, and live experimentation.
• Modern Infrastructure: Building production-grade models on GCP and Vertex AI, with the flexibility to explore advanced architectures.

What excites us

• You hold a degree (or PhD) in a STEM discipline, or bring equivalent depth through commercial experience.

• You have hands-on experience with modelling approaches such as deep learning, graph-based methods, or sequence models. While fintech experience is great, we value transferable skills from fields like cybersecurity or risk modelling.
• You have a track record of deploying models in production that create measurable value.
• You can translate complex ML concepts into clear, practical solutions for stakeholders across the business.
• You enjoy writing clean code and helping the team thrive through thoughtful reviews and shared learning.

Base salary range: £99,200 - £148,800

Base salary ranges are based on role, job level, location, and market data.  Please note that whilst we strive to offer competitive compensation, our approach is to pay between the minimum and the mid-point of the pay range until performance can be assessed in role. Offers will take into account level of experience, interview assessment, budgets and parity between you and fellow employees at GoCardless doing similar work.

Why we're hiring:

We are seeking an experienced Technical Lead to join our development team in a hands-on engineering and solutions role. This position requires a unique blend of technical expertise and leadership skills, combining individual contribution with team management, mentorship, and cross-functional collaboration. The ideal candidate will drive technical excellence while fostering a collaborative environment that enables the team to deliver high-quality solutions.  

What you'll be doing:

• Drive technical strategy and roadmap planning in collaboration with product and stakeholders  

• Establish and maintain coding standards, best practices, and development processes  

• ConducTechnical Leadership  

• Lead by example through hands-on coding and architectural decisions  

• Design and implement scalable solutions for complex technical challenges 

• t thorough code reviews and provide constructive feedback  

• Stay current with emerging technologies and evaluate their potential impact on our platform  

Team Management & Mentorship

• Lead and mentor a cross-functional engineering team of varying experience levels  

• Provide technical guidance and career development support to team members  

• Foster a collaborative and inclusive team culture focused on continuous learning  

• Conduct regular one-on-ones and performance reviews  

• Identify skill gaps and create development plans to address them  

• Facilitate knowledge sharing sessions and technical discussions  

Cross-Functional Collaboration  

• Partner with product management, design, and other engineering teams to deliver integrated solutions  
• Collaborate with global teams across different time zones and cultural contexts  
• Work closely with leadership teams to align technical initiatives with business objectives  

• Participate in cross-team architectural discussions and technical decision-making  

• Act as a technical liaison between engineering and non-technical stakeholders  

Solution Architecture & Problem Solving  

• Analyze complex business requirements and translate them into technical solutions  

• Design robust, scalable, and maintainable system architectures  

• Troubleshoot and resolve complex technical issues across the platform  

• Optimize system performance and reliability  
• Ensure security best practices are implemented throughout the development

What you'll need:

Core Technologies 

• Python: Expert-level proficiency with modern Python frameworks (e.g., Fast API) and libraries, building Microservices  

• React.js: Strong experience building complex, interactive user interfaces, Microfrontend architecture familiarity, creating reusable component libraries and use existing ones  

• TypeScript: Solid understanding of type systems and modern JavaScript/TypeScript patterns  

• API Development: Extensive experience designing and implementing RESTful APIs and GraphQL  

• Database Management: Proficiency with PostgreSQL, including query optimization and database design  

Cloud & Infrastructure  

• Google Cloud Platform: Experience with GCP services (Compute Engine, Cloud Storage, Cloud SQL, etc.)  

• Amazon Web Services: Familiarity with AWS services and cloud architecture patterns  

• DevOps Practices: Understanding of CI/CD pipelines, containerization, and infrastructure as code  

• Monitoring & Observability: Experience with logging, metrics, and distributed tracing  

Development Practices

• Version control systems (GitHub) and collaborative development workflows  
• Testing frameworks and test-driven development practices  

• Agile/Scrum methodologies  

• Performance optimization and scalability considerations  

• Security best practices and vulnerability assessment  

Required Leadership & Communication Skills  

Leadership Capabilities  

• Proven track record of leading technical teams (5+ years of leadership experience)  

• Experience mentoring engineers at different career stages  

• Ability to make difficult technical decisions and stand behind them  

• Strong project management skills with ability to deliver on time and within scope  

• Experience with hiring and building high-performing engineering teams  

Communication Excellence  

• Exceptional written and verbal communication skills  

• Experience working with global, distributed teams across multiple time zones  

• Ability to communicate complex technical concepts to non-technical stakeholders  

• Strong presentation skills for leadership and cross-functional audiences  

• Cultural sensitivity and adaptability for international collaboration  

• Fluency in English (additional languages are a plus)  

Preferred Qualifications  

Experience  

• 15+ years of software development experience  

• 5+ years in a technical leadership role  

• Experience with microservices architecture and distributed systems  

• Background in scaling engineering teams and processes  

• Previous experience in a similar tech stack environment  

Education & Certifications  

• Bachelor's degree in Computer Science, Engineering, or related field (or equivalent experience)  

• Cloud certifications (GCP Professional Cloud Architect, AWS Solutions Architect, etc.) is preferred  

• Relevant technical certifications or continued education  

Who you are:

You're open: We are inclusive and collaborative; we encourage the free exchange of ideas; we respect and celebrate diverse views. We are open-minded: to new ideas, new partnerships, new ways of working.

You're optimistic: We believe in the power of creativity, technology and talent to create brighter futures or our people, our clients and our communities. We approach all that we do with conviction: to try the new and to seek the unexpected.

You're extraordinary: we are stronger together: through collaboration we achieve the amazing. We are creative leaders and pioneers of our industry; we provide extraordinary every day.

What we'll give you:

Passionate, inspired people – We aim to create a culture in which people can do extraordinary work.

Scale and opportunity – We offer the opportunity to create, influence and complete projects at a scale that is unparalleled in the industry.

Challenging and stimulating work – Unique work and the opportunity to join a group of creative problem solvers. Are you up for the challenge?

#LI-Hybrid

We are looking for a skilled Senior DevOps Engineer in our office in Lisbon, Portugal.

✅ Requirements:
✔️ You know Kubernetes on bare metal (we use kubespray for deployment) and can deploy new one
✔️ Have experience with Istio and Calico
✔️ Have practical experience with Helm (write new charts / edit old)
✔️ Terraform and Ansible are familiar tools for you
✔️ Hands on experience with Prometheus and ELK in cluster
✔️ Experience with Linux and its components (Debian-based)
✔️ Experience with CI/CD system (GitLab preferably)
✔️ Advance lvl of English
✔️ Nice to have AWS or GCP experience

✅ Could be a plus:
✔️ Practical experience with CloudFlare

✅Opportunities & tasks
✔️Manage, maintain, configure, and deploy kubernetes clusters
✔️Improve existing helm charts and write new one
✔️Work with Developers team to enhance production stability, availability, and reliability
✔️Monitor system performance
✔️Build and maintain CI / CD pipeline using GitLab
✔️Work with Cloud Providers
✔️Work with CloudFlare

Our Data & Engineering team is growing, and we’re now looking for a Senior Data Consultant (m/f/*) to join our team in Portugal, supporting our global growth.

As a Senior Data Consultant, you will combine deep hands-on experience in modern data platforms — particularly Databricks — with a strategic, client-oriented mindset. You’ll advise organizations on how to design, implement, and scale data-driven architectures, while guiding them through every stage of their digital transformation journey.

WHAT WE OFFER

• Flexible work options, including fully remote or hybrid arrangements (candidates must be located in Portugal)
• The chance to accelerate your career and work with outstanding colleagues in a collaborative, global learning community across three continents
• Opportunities to shape cutting-edge data projects and see your ideas implemented in real-world solutions
• Balance your work and personal life: choose to work from home, in the office, or in a hybrid setup
• Annual performance reviews and continuous feedback focused on collaboration and growth, not hierarchy
• A personalized development plan and professional advancement opportunities
• Access to learning resources — paid certifications, unlimited Udemy Business, and more
• Local, virtual, and global team events to connect with colleagues worldwide

WHAT YOU’LL DO

• Advise clients on the design and implementation of scalable data architectures using Databricks Lakehouse Platform, with a strong focus on Apache Spark, Delta Lake, and Unity Catalog
• Translate complex business requirements into data strategies, architecture blueprints, and technical roadmaps
• Design, implement, and optimize data pipelines for analytics, machine learning, and business intelligence workloads
• Collaborate with stakeholders — from executives to technical teams — to align data initiatives with business goals
• Ensure data quality, governance, and security best practices within Databricks and related ecosystems
• Support pre-sales and discovery activities by identifying client needs and defining technical approaches
• Mentor junior consultants and contribute to the growth of our Databricks and data consulting expertise
• Stay current with emerging technologies and trends in cloud data platforms and AI-driven analytics

WHAT YOU’LL BRING

• Proven experience in data consulting or architecture, with hands-on expertise in Databricks on Azure, AWS, or GCP
• Deep knowledge of Spark (PySpark/Scala), Delta Lake, and MLflow
• Strong programming skills in Python or Scala, and experience with CI/CD pipelines (GitHub Actions, Azure DevOps, etc.)
• Solid understanding of data modeling, distributed computing, and performance optimization in cloud environments
• Experience advising or working directly with enterprise clients on data modernization or cloud migration projects
• Familiarity with orchestration tools (e.g., Databricks Workflows, Airflow) and infrastructure-as-code (e.g., Terraform)
• Excellent communication and stakeholder management skills, with the ability to translate technical solutions into business value
• Professional proficiency in English (C1 level, written and spoken)

Did we pique your interest, or do you have any questions?
We’d love to hear from you — contact us at recruiting@ultratendency.com

Our Engineering community is growing, and we’re now looking for a Senior Data Engineer - Databricks (m/f/*) to join our team in Portugal, supporting our global growth.

WHAT YOU’LL DO

The role

Data sits at the core of our mission. We leverage bank account data to deliver high-value, intelligent payment solutions for our customers, from enhancing payment success rates to driving payer fraud prevention.

As a Senior Data Scientist within our Payment Intelligence team, you’ll partner with Software Engineers, Product Managers, and Designers to turn big ideas into reality. You’ll own the full lifecycle of our algorithms, shaping everything from the initial concept to production-ready code that powers our global payment network.

At GoCardless, our stack is centered around Google Cloud Platform and Vertex AI, providing a high-performance environment for innovation. Our Data Scientists operate at the intersection of Python, SQL, and BigQuery to build and deploy high-performance models at scale.

What you’ll do

• Lead the end-to-end delivery of models at scale, from initial discovery and feature engineering to production, A/B testing and continuous monitoring.
• Collaborate with product and engineering peers to turn complex data into real-time, mission-critical fraud prevention solutions.
• Raise the team’s collective bar through hands-on technical leadership and knowledge sharing.
• Proactively research and integrate latest developments in ML and payer fraud prevention to drive innovation at GoCardless.

What excites you

• Being a self-starter who thrives on taking a vague business problem and owning the journey from the first prototype to a live, measurable solution.
• An opportunity to introduce and scale advanced architectures to solve high-stakes fraud and payment challenges.
• Moving beyond execution to help define the technical roadmap for Payer Fraud Prevention, ensuring we leverage the best tools for the job.
• Building production-grade ML models on a streamlined GCP and Vertex AI stack to drive fintech innovation.

What excites us

• You hold a degree (or PhD) in a STEM discipline or an equivalent commercial experience.
• You bring hands-on experience with sophisticated architectures, such as deep learning, graph-based, or sequence-based models (experience in Fintech, Fraud Prevention, or Payments is a big plus).
• You can translate complex ML concepts into practical product solutions and communicate these ideas clearly to non-technical peers.
• You are comfortable owning the full lifecycle, from deep-dive analysis and feature engineering to prototyping, validation, and live A/B testing.
• You lead by example, writing clean, high-quality code and raising the team’s technical bar through knowledge sharing and code best practices.

Base salary range: €64,000 - €96,000

Base salary ranges are based on role, job level, location, and market data.  Please note that whilst we strive to offer competitive compensation, our approach is to pay between the minimum and the mid-point of the pay range until performance can be assessed in role. Offers will take into account level of experience, interview assessment, budgets and parity between you and fellow employees at GoCardless doing similar work.

The role

Data sits at the core of our mission. We leverage bank account data to deliver high-value, intelligent payment solutions for our customers, from enhancing payment success rates to driving payer fraud prevention.

As a Senior Data Scientist within our Payment Intelligence team, you’ll partner with Software Engineers, Product Managers, and Designers to turn big ideas into reality. You’ll own the full lifecycle of our algorithms, shaping everything from the initial concept to production-ready code that powers our global payment network.

At GoCardless, our stack is centered around Google Cloud Platform and Vertex AI, providing a high-performance environment for innovation. Our Data Scientists operate at the intersection of Python, SQL, and BigQuery to build and deploy high-performance models at scale.

What you’ll do

• Lead the end-to-end delivery of models at scale, from initial discovery and feature engineering to production, A/B testing and continuous monitoring.
• Collaborate with product and engineering peers to turn complex data into real-time, mission-critical fraud prevention solutions.
• Raise the team’s collective bar through hands-on technical leadership and knowledge sharing.
• Proactively research and integrate latest developments in ML and payer fraud prevention to drive innovation at GoCardless.

What excites you

• Being a self-starter who thrives on taking a vague business problem and owning the journey from the first prototype to a live, measurable solution.
• An opportunity to introduce and scale advanced architectures to solve high-stakes fraud and payment challenges.
• Moving beyond execution to help define the technical roadmap for Payer Fraud Prevention, ensuring we leverage the best tools for the job.
• Building production-grade ML models on a streamlined GCP and Vertex AI stack to drive fintech innovation.

What excites us

• You hold a degree (or PhD) in a STEM discipline or an equivalent commercial experience.
• You bring hands-on experience with sophisticated architectures, such as deep learning, graph-based, or sequence-based models (experience in Fintech, Fraud Prevention, or Payments is a big plus).
• You can translate complex ML concepts into practical product solutions and communicate these ideas clearly to non-technical peers.
• You are comfortable owning the full lifecycle, from deep-dive analysis and feature engineering to prototyping, validation, and live A/B testing.
• You lead by example, writing clean, high-quality code and raising the team’s technical bar through knowledge sharing and code best practices.

Base salary range: £99,200 - £148,800

Base salary ranges are based on role, job level, location, and market data.  Please note that whilst we strive to offer competitive compensation, our approach is to pay between the minimum and the mid-point of the pay range until performance can be assessed in role. Offers will take into account level of experience, interview assessment, budgets and parity between you and fellow employees at GoCardless doing similar work.

About WPP Open:  

Built on WPP IP and owned technology, and strengthened by strategic partnerships with leading technology firms, WPP Open leverages decades of experience serving enterprise clients to deliver highly optimised, automated and transformative marketing solutions that elevate brand experiences, push the boundaries of creativity and drive measurable growth. We are a fast-growing team, looking for ambitious and talented individuals to join us on our journey.  

Why we're hiring:

The WPP Open Solution Consultant plays a critical role in driving the successful implementation of the WPP Open platform. This individual will act as a trusted advisor, bridging the gap between the WPP Open platform's capabilities and tangible business outcomes. You will work closely with sales teams, product development, and agency stakeholders to understand their unique challenges and design solutions that leverage the WPP Open platform's strengths to deliver measurable value. This role requires a blend of deep technical expertise in the WPP Open ecosystem and strong communication abilities.

Key Responsibilities:
Understanding Agency/Client Needs:

• Conduct in-depth sessions with agencies to understand their business objectives and goals and help they understand how the WPP Open can help them meet their objectives and achieve their goals.
• Analyze client users, usage, data and workflows to understand their current state and identify areas where WPP Open can provide significant improvements.
• Document requirements and translate them into actionable solution recommendations and specifications within the context of the WPP Open platform.

Solution Design & Demonstration:

• Develop and present solutions that align with client needs and demonstrate the value proposition of WPP Open's specific modules and features (e.g., user access management, data management, workflow management, analytics).
• Tailor solutions to specific client industries and use cases, highlighting how WPP Open addresses their specific challenges.
• Quantify the business impact of solutions through ROI analysis and business case development, specifically related to the implementation and use of WPP Open.
• Create well defined written requirements which defines an SoW for changes and developments requested by agency and client teams.

Technical Expertise:

• Possess a deep and comprehensive understanding of the WPP Open platform, its architecture, its capabilities, and its integration with other technologies within the marketing and advertising ecosystem (e.g., cloud platforms, data lakes, CRM, DAM systems).
• Stay up-to-date on the latest updates, features, and best practices related to the WPP Open platform, including agents and their use across the apps and platform.
• Provide technical guidance and support to sales teams and clients regarding the WPP Open platform.

Collaboration:

• Work closely with Growth teams to build solutions focusing on the value proposition of WPP Open.
• Collaborate with product development teams to provide feedback on product features and enhancements for WPP Open, based on client needs and market trends.
• Partner with implementation teams to ensure successful solution deployment of WPP Open, providing technical guidance and support.

Relationship Building:

• Establish and maintain strong relationships with agencies, sales teams and Open teams acting as a trusted advisor and technical expert on the WPP Open platform.
• Proactively identify opportunities to expand WPP Open usage within existing client accounts.

Skills and Qualifications:
Technical Proficiency:

• Strong understanding of relevant technologies, including cloud computing (AWS, Azure, GCP), data analytics, marketing automation platforms, and ad tech platforms.
• Demonstratable experience building and deploying Agents is essential.
• Experience with API integration and data modelling, specifically within the context of the WPP Open platform.

Communication Skills:

• Excellent written and verbal communication skills to effectively explain technical concepts related to WPP Open to both technical and non-technical audiences.
• Proven experience in translating technical requirements into non-technical understanding, and vice versa.
• Ability to present complex information in a clear and concise manner, specifically related to the WPP Open platform.
• Strong presentation and demonstration skills, with the ability to showcase the WPP Open platform's capabilities effectively.

Problem-Solving:

• Ability to analyze complex problems, identify root causes, and develop effective solutions within the context of the WPP Open platform.
• Strong analytical and critical thinking skills, specifically related to the WPP Open platform's data and functionality.
• Ability to think creatively and develop innovative solutions using the WPP Open platform.

Desired Skills and Experiences:

• 3+ years of experience in a solutions consulting or Business Analyst role, specifically with marketing technology platforms.
• Deep understanding and hands-on experience with the WPP Open platform would be an advantage.
• Proven track record of successfully delivering solutions to clients using marketing technology platforms, ideally including WPP Open.
• Experience with Skore or a similar process improvement tools

Who you are:

You're open: We are inclusive and collaborative; we encourage the free exchange of ideas; we respect and celebrate diverse views. We are open-minded: to new ideas, new partnerships, new ways of working.

You're optimistic: We believe in the power of creativity, technology and talent to create brighter futures or our people, our clients and our communities. We approach all that we do with conviction: to try the new and to seek the unexpected.

You're extraordinary: we are stronger together: through collaboration we achieve the amazing. We are creative leaders and pioneers of our industry; we provide extraordinary every day.

What we'll give you:

Passionate, inspired people – We aim to create a culture in which people can do extraordinary work.

Scale and opportunity – We offer the opportunity to create, influence and complete projects at a scale that is unparalleled in the industry.

Challenging and stimulating work – Unique work and the opportunity to join a group of creative problem solvers. Are you up for the challenge?

#LI-Hybrid

GoCardless are here to support you and we’re committed to making the hiring process inclusive and accessible for everyone. If you need any extra support or any adjustments made, please reach out to your Talent Partner.

Remember, we don’t expect you to meet every requirement. If you’re excited by this role, we encourage you to apply

Platform Engineering at GoCardless

The Platform Engineering team is a unified, globally distributed team. We are currently located in London and Riga, and we are now expanding to our new hub in Lisbon. 

We work with all other engineering teams to empower them to build, release, run and scale their products.

We operate with a strong focus on both strategic project delivery and operational excellence. 

Our work is a balance of:

• Project Delivery: Building new platform components, from initial design to deployment.
• Operational Support: Ensuring the health and stability of our systems through on-call rotations and incident management.
• Business as Usual (BAU): Continuous maintenance, improvements, and support for audits and compliance.

Tech stack and tools:

• Python, Ruby, Golang;
• Terraform;
• Atlantis 
• AWS, GCP;
• Kubernetes, GKE;
• Github, GitHub Actions, ArgoCD;
• Grafana, Prometheus;
• Elastic

What excites you:

We use a wide range of technologies, and will never expect you to have experience with all of them. We do hope that you are enthusiastic about the infrastructure space and the impact your work can have on others. To enjoy this work you’ll be excited by:

• Building and maintaining automation of new and existing infrastructure;
• Appreciate and believe in building easy-to-understand and maintain tools to solve problems;
• Automating operational tasks to eliminate toil using your software development skills and experience;
• Ensuring that systems are safe and secure against cybersecurity threats;
• Working closely with software engineers and data scientists;
• Being involved in the technical design of architecture and making technical decisions;
• Cloud-first engineering;
• Ongoing opportunities to further develop your skills;
• Care about working with people who share the same values as you and who will continually push you to grow.

What excites us 

• Experience with at least one programming language such as Python, Ruby, Golang etc.;
• Experience with IaC tooling, such as Terraform;
• Previous experience with Terraform automation toolings such as Terragrunt or Atlantis will be considered an advantage;
• Experience with cloud computing providers such as AWS or GCP;
• Experience with containerized applications;
• Previous experience with container orchestration such as Kubernetes and GKE will be considered an advantage;
• Experience with CI/CD tooling such as Github, GitHub Actions, ArgoCD, etc.;
• Experience working with monitoring tooling such as Grafana, Prometheus, Zabbix etc.;
• Experience with relational databases and other datastores, especially around high availability and performance optimisation;
• Awareness of DevOps and Agile principles;
• Fluency in English;
• Excellent teamwork and communication skills.

Base salary range: the expected base salary range for this position is between €64,000 - €96,000.

Base salary ranges are based on role, job level, location, and market data.  Please note that whilst we strive to offer competitive compensation, our approach is to pay between the minimum and the mid-point of the pay range until performance can be assessed in role. Offers will take into account level of experience, interview assessment, budgets and parity between you and fellow employees at GoCardless doing similar work.

Engineering at GoCardless 

The technical challenges of building GoCardless span from simplifying building banking schemes to optimising the time to render the dashboard. 

You will enjoy being an Engineering Manager at GoCardless if:

• You’re looking to champion a great engineering culture within GC and in the wider engineering community; 
• You enjoy collaborating and learning from people from various backgrounds and experiences; 
• You want to feel proud of the work you’re doing and its impact on real customers.

Our engineers contribute to the engineering culture within and outside of GoCardless: they contribute to Open Source Software projects (see our Github), and share learnings in post-mortems, conferences and on our blog.

Our technologies: We endeavour to build simple, reliable systems and we believe in using the best technologies for each task.

Technologies we use across GoCardless include: Ruby on Rails, Golang, Python, JavaScript, TypeScript, React, Postgres, BigQuery, Kubernetes, Elasticsearch, Prometheus, Google Cloud (GCP).

The role

This is an exciting and unique opportunity to join GoCardless in our new Lisbon hub as an Engineering Manager.

As one of the founding employees in a Lisbon hub, you’ll be helping us build creative and fulfilled product engineering teams, technically leading them to become the best engineers they can be.

You will lead talented and creative engineers who build products and systems they are proud of. You will push for exceptionally high-quality work and empower our engineers to make a big impact.

Joining us at this stage means your work will have an impact on the success of our new hub, but also across the wider GoCardless organisation. This is a fantastic chance to be part of something new, innovative and truly aligned with our mission to simplify payments globally.

What excites you 

• Shipping stuff: you’ll work with your team to support changes to completion, delivering consistent positive impact across your product area. Being comfortable delivering a range of projects: from MVP experiments testing a hypothesis to a new feature
• Developing talent: You hire and grow engineers into being the best engineers they can be, while maintaining a supportive and engaging team culture
• Raising the technical bar: You insist on high standards of technical design and implementation and ensure your systems are operationally excellent
• Deliver project work while managing the expectations of your stakeholders
• Plan and prioritise impactful technical investment initiatives for your teams
• Be a reflection of the GC Values that help us work with one another effectively

What excites us  

• Professional experienced in coding - with Ruby on Rails for backend and JavaScript/React on frontend, and a commitment to building reliable, well-tested systems
• Enthusiastic about working in a strong culture of experimentation, testing and learning - to help us in experimenting ways to grow our product!
• Someone excited about supporting and growing a group of engineers, helping them become the best engineers they can be
• Somebody able to effectively communicate - mainly technical topics to technical and non-technical audiences
• Collaboration and cross-functional work - we have a Product Manager, Designer and BI Analyst as part of our team and work with a lot of other commercial teams across the business
• High agency: We’re after people who aren’t afraid of a challenge and will take ownership of problems they come across, help to resolve them and adapt to a constantly changing environment 

We don’t expect you to meet every requirement. If you’re excited by this role, we encourage you to apply. 

Base salary range: €70,400 - €105,600

Base salary ranges are based on role, job level, location, and market data.  Please note that whilst we strive to offer competitive compensation, our approach is to pay between the minimum and the mid-point of the pay range until performance can be assessed in role. Offers will take into account level of experience, interview assessment, budgets and parity between you and fellow employees at GoCardless doing similar work.